Unveiling the potential effects of resveratrol in lung cancer treatment: Mechanisms and nanoparticle-based drug delivery strategies

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 172, P. 116207 - 116207

Published: Jan. 31, 2024

Lung cancer ranks among the most prevalent forms of and remains a significant factor in cancer-related mortality across world. It poses challenges to healthcare systems society as whole due its high incidence, rates, late-stage diagnosis. Resveratrol (RV), natural compound found various plants, has shown potential nanomedicine for lung treatment. RV varied effects on cells, including promoting apoptosis by increasing pro-apoptotic proteins (Bax Bak) decreasing anti-apoptotic (Bcl-2). also hinders cell proliferation influencing important signaling pathways (MAPK, mTOR, PI3K/Akt, Wnt/β-catenin) that govern progression. In addition, acts potent antioxidant, diminishing oxidative stress safeguarding cells against DNA damage. However, using alone treatment drawbacks, such low bioavailability, lack targeting ability, susceptibility degradation. contrast, nanoparticle-based delivery address these limitations hold promise improving outcomes cancer; nanoparticle formulations offer advantages improved drug delivery, increased stability, controlled release, targeted cells. This article will provide an overview cancer, explore therapeutic agent, discuss benefits highlight nanoparticles treatment, cancer. By optimizing clinical application, future studies aim enhance overall improve prognosis patients.

Language: Английский

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The multifaceted role of Fragile X-Related Protein 1 (FXR1) in cellular processes: an updated review on cancer and clinical applications

Cell Death and Disease, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 18, 2024

Abstract RNA-binding proteins (RBPs) modulate the expression level of several target RNAs (such as mRNAs) post-transcriptionally through interactions with unique binding sites in 3′-untranslated region. There is mounting information that suggests RBP dysregulation plays a significant role carcinogenesis. However, function FMR1 autosomal homolog 1(FXR1) malignancies just beginning to be unveiled. Due diversity their domains and functional adaptability, FXR1 can regulate diverse transcript processing. Changes interaction RNA networks have been linked emergence cancer, although theoretical framework defining these alterations insufficient. Alteration or localization has mRNAs cancer suppressor genes, cancer-causing genes involved genomic stability. In particular, FXR1-mediated gene regulation involves cellular phenomena related growth, metastasis, epithelial-mesenchymal transition, senescence, apoptosis, angiogenesis. implicated types, suggesting its diagnostic therapeutic potential. molecular mechanisms biological effects yet understood. This review highlights current knowledge various situations, emphasizing variety complexity. We further address challenges opportunities targeting for diagnosis treatment propose future directions research oncology. work intends provide an in-depth emerging oncotarget multiple roles implications biology therapy.

Language: Английский

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Minimal residual disease (MRD) detection in solid tumors using circulating tumor DNA: a systematic review

Frontiers in Genetics, Journal Year: 2023, Volume and Issue: 14

Published: Aug. 10, 2023

Minimal residual disease (MRD) refers to a very small number of tumor cells in the body during or after treatment, representing persistence and possibility clinical progress. Circulating DNA (ctDNA) is fragment actively secreted by released into circulatory system process apoptosis necrosis cells, which emerging as non-invasive biomarker dynamically monitor therapeutic effect prediction recurrence. The feasibility ctDNA MRD detection revolution ctDNA-based liquid biopsies provides potential method for cancer monitoring. In this review, we summarized main methods (PCR-based Sequencing Next-Generation Sequencing) their advantages disadvantages. Additionally, reviewed significance analysis guide adjuvant therapy predict relapse lung, breast colon et al. Finally, there are still many challenges detection, such lack standardization, false-negatives false-positives results make misleading, requirement validation using large independent cohorts improve outcomes.

Language: Английский

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The microbiome types of colorectal tissue are potentially associated with the prognosis of patients with colorectal cancer

Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14

Published: March 21, 2023

As the second leading cause of cancer worldwide, colorectal (CRC) is associated with a poor prognosis. Although recent studies have explored prognostic markers in patients CRC, whether tissue microbes carry information remains unknown. Here, by assessing 533 CRC patients, we found that Proteobacteria (43.5%), Firmicutes (25.3%), and Actinobacteria (23.0%) dominated microbiota, which was different from gut microbiota. Moreover, two clear clusters were obtained clustering based on across all samples. By comparison, relative abundances Bacteroidetes cluster 1 significantly higher than those 2; while compared 1, more abundant 2. In addition, Firmicutes/Bacteroidetes ratios lower Further, 2, had relatively survival (Log-rank test, p = 0.0067). correlating patient survival, abundance dominant phyla, including Proteobacteria, Firmicutes, Bacteroidetes, patients. Besides, co-occurrence network at phylum level 2 complicated 1. Lastly, detected some pathogenic bacteria enriched promote development thus to survival. contrast, showed significant increases probiotics genera resist development. Altogether, this study provides first evidence microbiome carries can help design approaches for clinically evaluating

Language: Английский

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Nanoparticle-mediated metronomic chemotherapy in cancer: A paradigm of precision and persistence

Cancer Letters, Journal Year: 2024, Volume and Issue: 594, P. 216990 - 216990

Published: May 25, 2024

Language: Английский

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Role of long non-coding RNA ELFN1-AS1 in carcinogenesis

Discover Oncology, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 13, 2024

Abstract As one of the leading causes death worldwide, cancer significantly burdens patients and healthcare system. The role long non-protein coding RNAs (lncRNAs) in carcinogenesis has been extensively studied. lncRNA ELFN1-AS1 was discovered recently, subsequent studies have revealed its aberrantly high expression various tissues. In vitro vivo experiments consistently demonstrated close association between increased malignant tumor characteristics, particularly gastrointestinal malignancies. Functional assays further mechanistic as a competitive endogenous RNA for microRNAs, inducing growth, invasive features, drug resistance. Additionally, investigation into clinical implication potential diagnostic, therapeutic, and, notably, prognostic marker. This review provides comprehensive summary evidence regarding involvement initiation development, highlighting significance.

Language: Английский

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FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 70825 - 70832

Published: Jan. 1, 2024

Language: Английский

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Harnessing Pyroptosis for Lung Cancer Therapy: The Impact of NLRP3 Inflammasome Activation

Pathology - Research and Practice, Journal Year: 2024, Volume and Issue: 260, P. 155444 - 155444

Published: Aug. 1, 2024

Language: Английский

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Cost‐effectiveness analysis of postoperative surveillance for stage IV colorectal cancer in Japan: An economic modeling study

Annals of Gastroenterological Surgery, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Abstract Background The optimal postoperative surveillance strategy after curative resection in patients with stage IV colorectal cancer remains unclear. present study aimed to assess the cost‐effectiveness of strategies recommended by various academic societies for resection. Methods This economic evaluation used a Markov state‐transition model compare programs proposed guidelines published American Society Clinical Oncology, Colon and Rectal Surgeons, European Medical National Comprehensive Cancer Network, Japanese Rectum. Model parameters were extracted from our retrospective data who had synchronous liver and/or lung metastases underwent Cost‐effectiveness was assessed using an incremental ratio quality‐adjusted life years, maximum acceptable value 5 000 000–6 JPY/33333–40 USD. Uncertainty probabilistic sensitivity analyses. Results For resection, JSCCR‐strategy most cost‐effective, 2 888 628 JPY/19256 USD compared next cost‐effective program. Probabilistic analysis showed that likely be selected as (76.1%–77.9%). Conclusions modeling found cancer. Our findings suggest intensive is

Language: Английский

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A fusion model to predict the survival of colorectal cancer based on histopathological image and gene mutation

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 20, 2025

Colorectal cancer (CRC) is a prevalent gastrointestinal tumor worldwide with high morbidity and mortality. Predicting the survival of CRC patients not only enhances understanding their life expectancies but also aids clinicians in making informed decisions regarding suitable adjuvant treatments. Although there are many clinical, genomic, transcriptomic studies on this hot topic, few have explored direction integrating advanced deep learning algorithms histopathological images. In addition, it still unclear if combining images molecular data can better predict patients' survival. To fill gap, we proposed study novel multimodal computational framework using Multimodal Compact Bilinear Pooling (MCBP) to 5-year from images, clinical information, data. We applied our genome atlas (TCGA) data, consisting 84 samples mRNA sequencing gene mutation all available. Under 5-fold cross-validation, model achieved an area under curve (AUC) 0.743. Whereas, image information AUCs 0.771 0.773 respectively, than that solely. Our demonstrates reasonably patients, appropriate integration these or further enhance predictive performance.

Language: Английский

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