Exploring TGF-β Signaling in Cancer Progression: Prospects and Therapeutic Strategies.

IF 2.7 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
OncoTargets and therapy Pub Date : 2025-02-18 eCollection Date: 2025-01-01 DOI:10.2147/OTT.S493643
Khansa Ali Sheikh, Momna Amjad, Mahnoor Tabassum Irfan, Sumaira Anjum, Tanveer Majeed, Muhammad Usman Riaz, Amar Yasser Jassim, Elham Abdullatif M Sharif, Wisam Nabeel Ibrahim
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引用次数: 0

Abstract

Cancer persists as a ubiquitous global challenge despite the remarkable advances. It is caused by uncontrolled cell growth and metastasis. The Transforming Growth Factor-beta (TGF-β) signaling pathway is considered a primary regulator of various normal physiological processes in the human body. Recently, factors determining the nature of TGF-β response have received attention, specifically its signaling pathway which can be an attractive therapeutic target for various cancer treatments. The TGF-β receptor is activated by its ligands and undergoes transduction of signals via canonical (SMAD dependent) or non-canonical (SMAD independent) signaling pathways regulating several cellular functions. Furthermore, the cross talk of the TGF-β signaling pathway cross with other signaling pathways has shown the controlled regulation of cellular functions. This review highlights the cross talk between various major signaling pathways and TGF-β. These signaling pathways include Wnt, NF-κB, PI3K/Akt, and Hedgehog (Hh). TGF-β signaling pathway has a dual role at different stages. It can suppress tumor formation at early stages and promote progression at advanced stages. This complex behaviour of TGF-β has made it a promising target for therapeutic interventions. Moreover, many strategies have been designed to control TGF-β signaling pathways at different levels, inhibiting tumor-promoting while enhancing tumor-suppressive effects, each with unique molecular mechanisms and clinical implications. This review also discusses various therapeutic inhibitors including ligand traps, small molecule inhibitors (SMIs), monoclonal antibodies (mAbs), and antisense oligonucleotides which target specific components of TGF-β signaling pathway to inhibit TGF-β signaling and are studied in both preclinical and clinical trials for different types of cancer. The review also highlights the prospect of TGF-β signaling in normal physiology and in the case of dysregulation, TGF-β inhibitors, and different therapeutic effects in cancer therapy along with the perspective of combinational therapies to treat cancer.

探索TGF-β信号在癌症进展中的作用:前景和治疗策略
尽管取得了显著进展,但癌症仍然是一个无处不在的全球挑战。它是由失控的细胞生长和转移引起的。转化生长因子-β (TGF-β)信号通路被认为是人体各种正常生理过程的主要调节因子。近年来,决定TGF-β反应性质的因素受到了人们的关注,特别是其信号通路,可以成为各种癌症治疗的一个有吸引力的治疗靶点。TGF-β受体被其配体激活,并通过规范(依赖于SMAD)或非规范(不依赖于SMAD)信号通路进行信号转导,调节多种细胞功能。此外,TGF-β信号通路与其他信号通路交叉的串扰显示出对细胞功能的调控。本文综述了各种主要信号通路与TGF-β之间的串扰。这些信号通路包括Wnt、NF-κB、PI3K/Akt和Hedgehog (Hh)。TGF-β信号通路在不同阶段具有双重作用。它可以在早期抑制肿瘤的形成,在晚期促进肿瘤的发展。TGF-β的这种复杂行为使其成为治疗干预的一个有希望的靶点。此外,人们设计了许多策略,在不同水平上控制TGF-β信号通路,抑制促瘤作用,增强抑瘤作用,每种策略都有独特的分子机制和临床意义。本文还讨论了各种治疗性抑制剂,包括配体陷阱、小分子抑制剂(SMIs)、单克隆抗体(mab)和反义寡核苷酸,它们针对TGF-β信号通路的特定成分抑制TGF-β信号传导,并在不同类型癌症的临床前和临床试验中进行了研究。本综述还强调了TGF-β信号在正常生理和异常情况下,TGF-β抑制剂和不同治疗效果在癌症治疗中的前景,以及联合治疗癌症的观点。
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来源期刊
OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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