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. 2026 Sep 25;7(10):e71016. doi: 10.1002/mco2.71016

Cytoskeletal Dynamics in Cancer: From Pathogenesis to Treatment

Jie Chen 1,2, Wenxi Yang 1,2, Yonghan Song 1,2, Yuanhao Zhang 1,2, Jia Ma 1, Tingyao Wang 1, Jijun Zheng 1, Hebin Zhang 1, Yiyao Liu 2,3,✉, Jinhao Zeng 1,2,✉
PMCID: PMC13613100  PMID: 42798800

ABSTRACT

Cancer remains a major global health burden despite recent advances in early diagnosis and novel therapeutics. The cytoskeleton is a dynamic filamentous network that controls cell morphology, motility, and intracellular trafficking; in normal cells, its activity is tightly regulated, whereas in cancer, it undergoes aberrant remodeling that fuels uncontrolled proliferation, metastatic dissemination, resistance to apoptosis, and epithelial–mesenchymal transition. These pathological changes are associated with Rho guanosine triphosphatases (Rho GTPases) cascades, Hippo/Yes‐associated protein (YAP) signaling, and other mechanosensitive pathways. However, a comprehensive understanding of how cytoskeletal dynamics integrate with these signaling networks and the tumor microenvironment to drive malignant progression and modulate treatment responses is still lacking. This review systematically addresses this gap by dissecting the diverse contributions of the cytoskeleton to tumor proliferation, invasion, programmed cell death, and angiogenesis, and by clarifying how mechanical signals synergize with cytoskeletal rearrangements to enhance aggressive behaviors. It further evaluates the modulatory effects of cytoskeletal components on the efficacy of conventional chemotherapy, immunotherapy, and molecular targeted therapy, and summarizes the clinical evidence for microtubule‑stabilizing and destabilizing drugs. Taken together, this study offers fresh perspectives on the intricate interplay between the cytoskeleton and cancer, and provides an important reference for the current field of cancer research.

Keywords: actin filaments, cancer, cytoskeletal dynamics, intermediate filaments, microtubules


This review systematically addresses the fundamental roles of the cytoskeleton (actin filaments, microtubules, and intermediate filaments) in cancer progression. We focus on how cytoskeletal dynamics regulate tumor proliferation, metastasis, and programmed cell death, while also modulating the immune microenvironment. Understanding these mechanisms may guide targeted therapy development and ultimately improve clinical outcomes for patients.

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1. Introduction

Cancer is a disease caused by the loss of normal regulation and subsequent excessive proliferation of the somatic cells. Its core hallmarks are genetic and epigenetic alterations in somatic cells, which drive sustained proliferative signaling, cell death, angiogenesis, and metastasis [1, 2]. Cancer has become one of the leading causes of human death globally. Based on the latest projections, approximately 20 million individuals worldwide were diagnosed with cancer for the first time in 2022. Lung cancer ranks as the leading cause of cancer‑related mortality, while other frequently diagnosed malignancies comprise colorectal, prostate, gastric, hepatic, and cervical cancers [3, 4, 5, 6]. Carcinogenesis and cancer progression are driven by the interplay of multiple factors including environmental exposure, lifestyle, and chronic infection [7, 8].

Cytoskeletal architecture plays a pivotal role in the morphological and functional transformations observed during cancer progression. Comprising microtubules, actin filaments, and intermediate filaments, the cytoskeleton orchestrates cellular integrity, polarity, and dynamic behavior [9]. Actin filaments, assembled from globular actin (G‐actin) into filamentous actin (F‐actin), regulate cell motility and contractility through interactions with Myosin II, forming a force‐generating actomyosin network [10]. Rho family GTPases serve as key regulators of actin cytoskeletal assembly and reorganization, modulating not only cytoskeletal dynamics but also vesicular trafficking, cell polarity, enzyme activity, and transcriptional responses [11]. Microtubules, composed of α‐ and β‐tubulin heterodimers, facilitate intracellular transport, structural support, and directional migration [12]. Their dynamic instability, characterized by rapid transitions between polymerization and depolymerization, is essential for cell cycle progression. Intermediate filaments, noted for their mechanical stability, serve as scaffolding elements that integrate and anchor microtubules and actin filaments, thereby maintaining cytoskeletal cohesion and structural resilience [13]. Moreover, the cytoskeleton plays a pivotal role in determining the mechanical properties and mechanotransduction of cells. Its network architecture defines the physical properties of cells, such as elasticity and stiffness, and can convert mechanical signals including extracellular matrix (ECM) stiffness, stress, and compressive stress into intracellular biochemical signals. This regulates cell proliferation, apoptosis, tissue homeostasis maintenance, immune response, and injury repair [14].

Conventional cancer therapies, including chemotherapy, radiotherapy, surgery, and immunotherapy, have significant limitations [15, 16]. In recent years, drug synthesis research targeting the cytoskeleton, particularly microtubules, has increased dramatically [17]. Microtubule‑targeting agents (MTA) constitute an important class of therapeutic agents in cancer treatment [18]. Their mechanism of action primarily relies on perturbing the dynamic equilibrium of microtubules during cell division, thereby arresting the cell cycle and ultimately inducing cell death. Two principal categories exist for these agents based on how they affect microtubules: stabilizing drugs (taxanes) and destabilizing drugs (vinca alkaloids). Their widespread clinical adoption notwithstanding, the survival outlook for many patients remains grim [19]. Currently, research on novel MTA and other cytoskeleton‑targeted therapeutic approaches is ongoing, with the aim of reducing side effects. Therefore, in‑depth exploration of the molecular mechanisms of the cytoskeleton in cancer development is crucial for the development of new drugs and the investigation of novel therapies.

Aberrant remodeling of cytoskeletal proteins contributes to tumor initiation, progression, and therapeutic resistance. The process of metastatic dissemination, fueled by dysregulated cell motility, relies heavily on cytoskeletal reorganization [20]. Elucidating the roles of cytoskeletal dynamics in cancer may reveal critical molecular events and enable the identification of actionable targets. Recent advances in targeting cytoskeletal components and associated signaling pathways have yielded promising pharmacological agents, with mechanistic insights informing the development of novel interventions against cancer pathogenesis. This study begins with an overview of cytoskeletal composition and dynamics, covering microfilaments, microtubules, intermediate filaments, and their associated proteins. It then discusses the roles of the cytoskeleton in tumor proliferation, metastasis, and programmed cell death, with a focus on its involvement in differential protein expression and signaling pathway regulation. In addition, the study examines how mechanical stiffness and forces influence tumor progression. Finally, the therapeutic potential of targeting the cytoskeleton is discussed, encompassing conventional therapy, immunotherapy, and targeted therapy. This study systematically synthesizes the past decade's advances regarding the cytoskeleton in cancer, providing an important reference for the current field of cancer research.

2. The Components and Dynamics of Cytoskeleton

The cytoskeleton, a structurally and functionally versatile framework in eukaryotic cells, orchestrates critical cellular processes such as cell division, motility, and response to external stimuli. These processes are mediated by three primary types of cytoskeletal filaments: microfilaments (actin filaments), microtubules, and intermediate filaments. Together, these filamentous structures form a dynamic network (Figure 1) [21].

FIGURE 1.

FIGURE 1

Components and dynamics of the cytoskeleton. Comprising microtubules, actin filaments, and intermediate filaments, the cytoskeleton orchestrates cellular integrity, polarity, and dynamic behavior.

2.1. Actin Filaments

Actin filaments are composed of actin monomers, which exist in two forms: G‐actin and F‐actin. As the most dynamic of the cytoskeletal proteins, actin enables rapid structural remodeling within minutes, facilitating changes in cell shape. G‐actin polymerizes into asymmetric, helical F‐actin structures, typically extending to 6–7 µm in vitro [22]. These filaments regulate numerous cellular functions, including motility and structural adaptation. The elongation and stabilization of actin filaments are controlled by actin‐binding proteins, which govern polymerization, depolymerization, and cross‐linking dynamics [23].

Rho GTPases, members of the Ras superfamily, are pivotal in cell migration signaling pathways. Ras‐related C3 botulinum toxin substrate 1 (Rac1), cell division control protein 42 (Cdc42), and RhoA are the prototypical GTPases in this family [24], with well‐documented roles in regulating actin cytoskeleton organization and dynamics. In fibroblasts, Rac1 induces lamellipodia and ruffles, Cdc42 promotes filopodia formation, and RhoA drives stress fiber assembly [25]. These structures are crucial for actin‐driven protrusion at the leading edge, mediated by Rac1/Cdc42‐induced lamellipodia and filopodia, while RhoA‐dependent stress fibers regulate actomyosin contraction at the trailing edge.

Rac1 activates the Wiskott‐Aldrich syndrome protein‐family verprolin‐homologous protein (WAVE) complex to stimulate actin‐related protein (Arp) 2/3‐mediated actin polymerization at lamellipodia. Both Rac1 and Cdc42 interact with p21‐activated kinase (PAK), activating it and downstream substrates like LIM kinase (LIMK), which enhances actin polymerization through cofilin phosphorylation. Additionally, Rac1 and Cdc42 bind to phosphatidylinositol 3‐kinase (PI3K), and PI3K‐phosphorylated lipids stimulate Rac1 guanine nucleotide exchange factors (GEFs), creating a positive feedback loop that amplifies cell motility. Cdc42 also recruits the WASP–Arp2/3 complex to nucleate actin bundles in filopodia. RhoA, through Rho kinases (ROCK1/2), regulates actomyosin contractility and focal adhesion (FA) maturation [26].

Cofilin mediates actin filament severing and barbed‐end generation, accelerating both depolymerization and polymerization cycles [27]. This activity provides G‐actin for cytoskeletal remodeling, enabling the formation of lamellipodia, pseudopodia, and filopodia—structures critical for tumor cell chemotaxis and invasion. Cofilin also enhances Arp2/3‐mediated dendritic nucleation by producing fragmented actin filaments [28].

2.2. Microtubules

Microtubules, originating from microtubule‐organizing centers, primarily the centrosomes, consist of α‐, β‐, and γ‐tubulin subtypes [29]. These dynamic polymers form intracellular transport networks for vesicles, organelles, and macromolecules. Their stability and behavior are regulated by microtubule‐associated proteins (MAPs), which can exert stabilizing or destabilizing effects, influencing polymerization rates or promoting microtubule severing.

MAPs are a class of proteins that specifically bind to microtubules. Their main functions include promoting microtubule assembly, enhancing microtubule structural stability, mediating intracellular transport, and regulating microtubule dynamics. A large and diverse range of MAPs have been identified to date, such as nucleolar and spindle‐associated protein 1 (NUSAP1), discs large‐associated protein 5 (DLGAP5), protein regulator of cytokinesis‐1 (PRC1), microtubule‐associated protein tau (MAPT), hepatoma upregulated protein (HURP), and never in mitosis gene A‐related kinase 2 (NEK2). MAPs exhibit cell‐ and tissue‐specific expression and play important roles in cancer. Microtubule‐stabilizing proteins including tau and MAP2 inhibit disassembly and facilitate microtubule elongation. In contrast, microtubule‐destabilizing proteins promote depolymerization. For example, stathmin (STMN) promotes depolymerization by binding to tubulin heterodimers. Furthermore, posttranslational modifications of microtubules, including acetylation, can influence their stability by modulating MAP activity, thereby controlling microtubule dynamics.

2.3. Intermediate Filaments

Intermediate filaments, a diverse protein family encoded by over 70 genes, assemble into 10‐nm‐diameter filaments. These filaments are classified into five types based on sequence homology: cytoplasmic intermediate filaments (Types I–IV) include keratins (KRTs) (Types I/II), vimentin (Type III), desmin (Type III), and neurofilaments (Type IV), while nuclear lamins (Type V) are located in the nucleus [30]. Cytoplasmic intermediate filaments form a dense reticular network, primarily positioned in the perinuclear space, extending to the cortex [31]. These filaments bind to local adhesion sites to maintain cell adhesion [32].

Intermediate filaments are critically involved in counteracting external mechanical stress. Vimentin establishes a compact perinuclear framework that safeguards the nucleus from such forces. Furthermore, vimentin strengthens cellular attachment to viscoelastic environments and accelerates cell spreading. The interaction between vimentin and actin filaments is critical for cell adhesion, migration, and invasiveness. KRTs are mainly present in all epithelial cells and are classified into Type I (acidic) and Type II (basic) families. Different types of KRTs are expressed in various parts of the human body, tissues, and cells. KRTs help maintain cell shape and resist external stress, providing structural support.

2.4. Cytoskeleton‐Related Research Methods

A comprehensive understanding of cytoskeletal dynamics in cancer depends heavily on the methodological tools available to visualize and quantify actin, microtubule, and intermediate filament organization, and the choice of imaging modality substantially shapes the biological conclusions that can be drawn. Conventional confocal laser scanning microscopy and total internal reflection fluorescence microscopy remain widely used for characterizing cytoskeletal architecture in fixed and living cells, owing to their relative accessibility and compatibility with standard immunofluorescence and live‐cell labeling protocols. However, their diffraction‐limited resolution of roughly 200–250 nm is insufficient to resolve the nanoscale filament bundling, protofilament arrangement, and adhesion‐complex organization that are frequently altered during malignant transformation, meaning that subtle but functionally important remodeling events can be missed or misinterpreted using these approaches alone [33].

To overcome this limitation, super‐resolution imaging strategies have been increasingly applied to cytoskeletal research in recent years. Stochastic optical reconstruction microscopy has been directly used to resolve nanoscale differences in actin bundle width and tubulin organization between mesenchymal stem cells and cancer cell lines, including glioblastoma and breast cancer cells, revealing cell‐type‐specific cytoskeletal remodeling patterns that are not detectable by conventional fluorescence microscopy and that may correlate with differences in invasiveness or lineage identity [34]. Advances in 4Pi‐detection single‐molecule localization microscopy have further pushed axial resolution to the range of a few nanometers, enabling near‐isotropic three‐dimensional visualization of cytoskeletal filament networks that was previously inaccessible with standard two‐dimensional super‐resolution approaches, an advance particularly relevant for resolving how cytoskeletal architecture is organized across the full cell volume during processes such as spindle assembly and mitotic remodeling [35]. In parallel, quantitative structured illumination microscopy (SIM) methods incorporating physical model‐based background‐filtering algorithms have improved the accuracy of live‐cell actin dynamics imaging by suppressing reconstruction artifacts common to conventional SIM processing, allowing more reliable quantification of filament turnover and remodeling kinetics in real time rather than relying on static snapshots [36].

Beyond hardware‐ and algorithm‐based reconstruction methods, deep‐learning‐based image restoration has emerged as a complementary strategy for enhancing spatial resolution and signal‐to‐noise ratio while minimizing phototoxicity and photobleaching, both of which are major constraints for prolonged live‐cell imaging of dynamic cytoskeletal processes; systematic evaluations of such neural‐network‐based approaches have demonstrated their capacity to substantially improve image quality across diverse fluorescence microscopy platforms without requiring additional photon exposure [37].

Collectively, the integration of high‐resolution and super‐resolution imaging modalities, three‐dimensional localization methods, and advanced quantitative and deep‐learning‐based reconstruction algorithms has become indispensable for dissecting the fine structural and dynamic changes of the cytoskeleton that underlie tumor initiation, invasion, and therapeutic response, thereby providing an important methodological foundation for studying cytoskeleton‐related mechanisms.

3. Cytoskeletal Dynamics in Cancer Pathogenesis

The cytoskeleton, a dynamic and interconnected filamentous network, is critical for regulating cell shape, division, and motility. Dysregulation of the cytoskeleton promotes cancer progression by inducing proliferation, metastasis, programmed cell death, and angiogenesis [38].

3.1. Cytoskeletal Dynamics in Cancer Proliferation

Cytoskeletal dynamics play a crucial role in cancer proliferation. This role is primarily manifested in multiple aspects, including metabolic reprogramming, differential protein expression, signaling pathway regulation, and cell cycle control, significantly affecting the growth and survival of cancer cells. Cytoskeletal dynamics related to cancer proliferation are summarized in Table 1.

TABLE 1.

Summary of identified targets and proposed mechanisms linking cytoskeletal dynamics to cancer cell proliferation.

Cytoskeletal structure Main contributor Target/mechanism Cancer type References
Actin‐binding protein Cofiln‐1 Lactylation Nasopharyngeal carcinoma [41]
Microtubule LC3 NAT10/HK2 axis Gastric cancer [42]
Cytoskeleton KRT6A MYC‐regulated pentose phosphate pathway Lung cancer [43]
Actin‐binding protein TAGLN p53 acetylation Glioblastoma [44]
Actin‐binding protein AVIL − Rhabdomyosarcoma [45]
Actin‐capping proteins CAPZA1 − Cancer [46]
Actin‐binding protein Ezrin Actin cytoskeleton Pancreatic ductal adenocarcinoma [47]
Microtubule‐associated protein NUSAP1 − Pan‐cancer [48]
Microtubule MTUS1 DNA methylation Non‐small cell lung carcinoma [49]
Microtubule α‐Tubulin Acetylation Cervical cancer [50]
Cytoskeleton KRT19 Histone deacetylation Liver cancer [51]
Cytoskeleton ACTNs Hippo signaling and Rho GTPase Hepatocellular carcinoma [54]
Actin‐binding protein DBN1 NF2–LATS kinases complex Liver cancer [55]
Microtubule α‐Tubulin YAP Non‐small‐cell lung cancer [56]
Microtubule MAST3 YAP phosphorylation Breast cancer [57]
Focal adhesion complex Zyxin YAP Colon cancer [58]
Microtubule‐associated protein DLGAP5 Wnt/β‐catenin signaling pathway Endometrial cancer [59]
Microtubule‐associated protein PRC1 Wnt/β‐catenin signaling pathway Lung adenocarcinoma [60]
Actin filament associated protein AFAP1‐AS1 Wnt/β‐catenin signaling pathway Lung adenocarcinoma [62]
Actin‐binding protein ACTN4 ACTN4–RIPK1–NF‐κB signaling axis Melanoma [63]
Actin cytoskeleton Actin β‐Catenin Colorectal cancer [65]
Microtubule GEF‐H1 GEF‐H1/RhoA signaling pathways Breast cancer [66]
Actin filament associated protein AFAP1‐AS1 − Retinoblastoma [67]
Actin filament associated protein AFAP1‐AS1 Ras/MEK/c‐Jun and cadherin/vimentin signaling pathways Hepatocarcinoma [68]
Actin‐binding protein Girdin JAK/STAT signaling pathway Colorectal carcinoma [69]
Cytoskeleton‐associated protein CKAP5 YAP Esophageal squamous [75]
Actin‐binding protein CLP IL‐24/MAPK/ERK/TGFβ signaling pathway Breast cancer [76]
Actin‐binding protein ANLN miR‐218‐5p/LASP1 signaling pathway Pancreatic cancer [77]
Actin‐binding protein ENAH PI3K/AKT signaling Laryngocarcinoma [78]
Cytoskeleton Actin G0/G1 cell cycle arrest Breast cancer [80]
Cytoskeleton CKAP2L G2/M phase Pan‐cancer [81]
Actin‐binding protein Anillin Cytokinesis Hepatocellular carcinoma [82]
Actin‐binding protein ANLN Cell cycle arrest at the G2/M phase Breast cancer [83]
Actin‐binding protein FGD4 Cell cycle arrest at the G2/M phase Prostate cancer [84]
Actin filament‐associated protein AFAP1‐AS1 Cell cycle arrest at the G2/M phase Pancreatic cancer [85]
Intermediate filament KRT80 Cell cycle arrest at the G1 phase Colon cancer [86]
Microtubule α‐Tubulin Cell cycle arrest at the G2/M phase Esophageal squamous cell carcinoma [87]
Microtubule‐associated protein MAP9 Mitotic defects Colorectal cancer [88]
Microtubule Stathmin Cell cycle arrest at the G2/M phase Glioblastoma [89]
Microtubule‐associated protein PRC1 Cell cycle arrest at the G2/M phase Hepatocellular carcinoma [90]

Abbreviations: ACTNs, α‐actinins; AFAP1‐AS1, actin filament‐associated protein 1 antisense RNA 1; ANLN, anillin; AVIL, advillin; CAP1, cyclase‐associated protein 1; CKAP2, cytoskeleton‐associated protein 2; CLP, coactosin‐like protein; DBN1, drebrin; DLGAP5, discs large‐associated protein 5; ENAH, enabled homolog; FGD4, frabin; GEFs, guanine nucleotide exchange factors; KRTs, keratins; LC3, microtubule‐associated protein 1 light chain 3 alpha; MAPs, microtubule‐associated proteins; MAST3, microtubule‐associated serine/threonine kinase‐3; MTUS1, microtubule‐associated tumor suppressor 1; NUSAP1, nucleolar and spindle‐associated protein 1; PRC1, protein regulator of cytokinesis‐1; TAGLN, transgelin.

3.1.1. Metabolic Reprogramming

The glycolytic pathway is particularly important during metabolic reprogramming of tumor cells (Figure 2A). Cancer cells exhibit a strong dependence on aerobic glycolysis, which not only sustains the urgent energy demands for rapid proliferation but also provides essential biosynthetic precursors [39]. Beyond its canonical role in energy production, a growing body of evidence indicates that glycolytic flux and its byproducts actively crosstalk with the cytoskeletal architecture to coordinate malignant progression. On one hand, the tumor microenvironment directly couples glucose metabolism to cytoskeletal mechanics. Hyperglycemic conditions modulate the cytoskeletal architecture of breast cancer cells via the ROCK and focal adhesion kinase (FAK) signaling pathways, thereby altering their mechanical elasticity [40]. Elevated lactate levels promote the lactylation of Cofilin‐1 at Lysine 22, thereby promoting the proliferation of nasopharyngeal carcinoma cells [41]. Conversely, cytoskeletal regulators and metabolism are mutually influential. For instance, the microtubule‐associated protein 1 light chain 3 alpha (LC3) drives glycolytic metabolism and gastric carcinogenesis through the degradation of N‐acetyltransferase 10 (NAT10) [42], KRT6A upregulates the expression of glucose‐6‐phosphate dehydrogenase, consequently boosting the metabolic throughput of the pentose phosphate pathway [43]. In short, this mutual regulation means the cytoskeleton does more than just respond to metabolism. It actively controls key metabolic steps.

FIGURE 2.

FIGURE 2

Cytoskeletal remodeling in cancer proliferation. (A) Metabolic reprogramming. LC3 is involved in the degradation of NAT10, which drives glycolytic metabolism and gastric carcinogenesis. Enhanced glycolysis leads to the production and accumulation of lactate. Elevated lactate levels promote the lactylation of the actin‐binding protein Cofilin‐1 at Lysine 22, thereby promoting the proliferation of nasopharyngeal carcinoma cells. (B) Differential protein expression. Ezrin regulates the actin cytoskeleton to influence cell morphology, thereby playing a role in the growth of pancreatic ductal adenocarcinoma. TAGLN regulates HIF1α transcription and stabilizes HDAC2 to deacetylate p53, thereby promoting cancer stem cell survival. NUSAP1 and AVIL is highly expressed in various tumor tissues and can significantly promote cell proliferation. (C) Regulation of signaling pathways. ACTNs promote hepatocellular carcinoma via Hippo inhibition and Rho GTPase activation. DBN1 disrupts the NF2–LATS1/2 complex, driving liver tumorigenesis. YAP interacts with α‑tubulin during mitosis. MAST3, downregulated in breast cancer, promotes YAP phosphorylation and degradation. Zyxin facilitates colon cancer growth via CDK8‑mediated YAP activation. PRC1, AFAP1‐AS1, ACTN4, MICAL‑L2, and E‑cadherin drive tumor progression by activating Wnt/β‑catenin signaling. JAK/STAT signaling pathways and PI3K/AKT signaling pathways are also involved in regulating cell proliferation. (D) Cell cycle regulation. KRT80 knockdown leads to G1 arrest. ANLN, AFAP1‐AS1, CKAP2L, FGD4, PRC1, and the microtubule regulators (acetylated α‑tubulin and Stathmin) affect G2/M progression.

3.1.2. Differential Protein Expression

Upregulation or downregulation of cytoskeleton‑associated proteins is closely linked to cancer development (Figure 2B). Extensive evidence indicates that malignant transformation is consistently accompanied by substantial dysregulation of multiple such proteins, and this aberrant expression endows cancer cells with enhanced proliferative capacity. Based on their structural classes, these cytoskeleton‑associated proteins can be categorized into three major groups, namely, actin‑binding proteins, microtubule‑associated proteins, and intermediate filaments proteins, each contributing to tumor progression through distinct mechanisms.

Among actin‑binding proteins, transgelin (TAGLN) acts under hypoxia by modulating hypoxia‐inducible factor 1alpha (HIF1α) transcription and histone deacetylase‐2 (HDAC2)‑mediated p53 deacetylation to sustain cancer stem cell survival [44], while advillin (AVIL) is markedly overexpressed in rhabdomyosarcoma [45]. The capping proteins CAPZA1/CAPZB restrict branched F‑actin around multivesicular bodies, thereby promoting their peripheral secretion and tumor‑associated intercellular communication [46], and ezrin remodels cortical actin architecture to influence pancreatic ductal adenocarcinoma cell morphology and growth [47]. For microtubule‑associated proteins, NUSAP1 drives proliferation across multiple cancer types [48], whereas the tumor suppressor microtubule‑associated tumor suppressor 1 (MTUS1) is epigenetically silenced in non‑small cell lung carcinoma, correlating with enhanced proliferation [49]. Additionally, primary cilia are microtubule‐based organelles that process various metabolic and extracellular signals. Inhibition of α‐tubulin acetylation shortens cilia length, thereby accelerating the progression of cervical cancer [50]. With respect to intermediate filaments, KRT19 participates in histone deacetylation and liver tumorigenesis, and has also been implicated in cancer stem cell reprogramming, drug sensitivity modulation, and lung cancer initiation and progression [51, 52, 53].

3.1.3. Regulation of Signaling Pathways

Signaling pathways is intimately associated with the development and persistence of various tumor types (Figure 2C). Modulating these pathways can profoundly influence tumor cell behavior. Among the numerous cascades, the Hippo/yes‑associated protein (YAP) pathway is a classic axis that controls cancer cell proliferation. Several cytoskeletal proteins have been shown to modulate this pathway through distinct mechanisms. For instance, α‑actinin (ACTN) proteins, which are major cytoskeletal components, are significantly upregulated in hepatocellular carcinoma (HCC) and act as tumor promoters by inhibiting Hippo signaling while elevating Rho GTPase activity [54]. Similarly, the actin‑binding protein drebrin (DBN1) directly interacts with neurofibromin 2 (NF2), a component of the Hippo pathway, thereby disrupting the NF2–LATS1/2 complex formation and subsequently promoting liver tumorigenesis [55]. YAP itself participates in mitosis mainly through its interaction with α‑tubulin [56]. Conversely, microtubule‑associated serine/threonine kinase 3 (MAST3), which is expressed at low levels in breast cancer cells and correlates with poor prognosis in advanced tumors, interacts with YAP and promotes its phosphorylation, leading to protease‑mediated degradation of YAP [57]. Additionally, zyxin, a FA component involved in actin filament polymerization, promotes colon cancer cell growth through cyclin‐dependent kinase 8 (CDK8)‑mediated YAP activation [58]. Collectively, these findings highlight the diverse ways in which cytoskeletal proteins interface with the Hippo/YAP pathway to drive tumor progression.

Beyond the Hippo/YAP axis, the Wnt/β‑catenin signaling pathway plays a key regulatory role in cell proliferation. Multiple cytoskeleton‑associated proteins have been implicated in its activation. For example, DLGAP5 enhances the malignant behavior of endometrial cancer cells by activating Wnt/β‑catenin signaling [59], and PRC1 similarly promotes lung adenocarcinoma progression through the same cascade [60, 61]. Actin filament associated protein 1 antisense RNA 1 (AFAP1‐AS1) is involved in regulating the Wnt/β‐catenin signaling pathway in lung adenocarcinoma [62]. At the protein level, actinin‐4 (ACTN4) promotes β‑catenin expression, thereby increasing the transcription of proliferation‑related genes, and has been shown to stimulate proliferation of both melanocytes and melanoma cells [63]. In kidney clear cell carcinoma (KIRC), molecules interacting with CasL‐Like 2 (MICAL‐L2) is overexpressed and accelerates cancer progression by interacting with ACTN4 in a Rab13‑dependent manner [64]. Furthermore, E‑cadherin connects to the actin through its interaction with β‑catenin in tumor progression [65].

In parallel, Rho signaling pathways are involved in a broad range of biological processes, including cytoskeletal remodeling, cell proliferation, and migration. GEF‐H1 is a microtubule‐associated activator of RhoA. Activation of the GEF‐H1/RhoA signaling pathway promotes the proliferation of breast cancer cells and influences tumor formation [66]. Additionally, AFAP1‑AS1, which correlates with tumor size, accelerates cellular carcinogenesis [67]. AFAP1‑AS1 drives HCC cell proliferation via the Ras/mitogen‐activated protein kinase (MEK)/c‑Jun signaling cascade [68].

Moreover, several other signaling cascades also contribute to the regulation of cell proliferation in a cytoskeleton‑dependent manner. Overexpression of the actin‑binding protein girdin activates the Janus kinase (JAK)/signal transducer of activation (STAT) pathway, thereby promoting colorectal cancer cell proliferation [69]. Cytoskeleton‑associated protein 2 (CKAP2) promotes gastric cancer cell proliferation [70]. CKAP4, in turn, is associated with cell proliferation in gliomas, lung cancer, and esophageal cancer [71, 72, 73, 74], while CKAP5 promotes esophageal squamous cell carcinoma (ESCC) development by regulating microtubule dynamics and YAP activation [75]. In contrast, among actin‑binding proteins, coactosin‑like protein (CLP) inhibits breast carcinoma proliferation via transforming growth factor beta (TGF‐β)/SMAD pathway blockade [76], while anillin (ANLN) facilitates pancreatic tumor advancement by modulating the enhancer of zeste homolog 2 (EZH2)/miR‑218‑5p/LIM and SH3 protein 1 (LASP1) cascade [77], and enabled homolog (ENAH) stimulates PI3K/AKT signaling to accelerate laryngeal cancer progression [78].

3.1.4. Cell Cycle Regulation

Cell cycle regulation is fundamental to tumor cell proliferation (Figure 2D). Throughout the cell cycle, cells actively reorganize the actin cytoskeleton and alter nuclear morphology [79]. Aberrant regulation of this process leads to uncontrolled proliferation, making a thorough understanding of the underlying mechanisms essential for elucidating tumor growth.

The actin cytoskeleton plays a pivotal role in cell cycle progression. Disruption of actin organization can halt cell motility and induce G0/G1 arrest [80]. Several actin‑binding or actin‑associated proteins have been shown to modulate specific cell‑cycle transitions. For instance, CKAP2L, a cell cycle‑related protein highly expressed across multiple cancers and linked to the tumor immune microenvironment, drives progression from G2 to M phase, thereby enhancing proliferative capacity [81]. ANLN, which regulates cytokinesis and enhances tumor growth in HCC [82], and it also plays an important role during cell division in breast cancer cells, leading to G2/M accumulation [83]. Frabin (FGD4), an actin‑binding protein involved in cytoskeletal reorganization, is upregulated in prostate cancer; its knockdown reduces proliferation and causes G2/M arrest [84]. Similarly, inhibition of AFAP1‑AS1 leads to G2/M arrest and blocks pancreatic cancer cell proliferation [85]. In contrast, reduced expression of KRT80 induces G1 arrest in colon cancer cells, accompanied by a decrease in the G2/M population [86].

Microtubules also play a critical role in cell cycle regulation. Downregulation of acetylated α‑tubulin severely disrupts microtubule maturation, inhibits assembly, and ultimately leads to G2/M arrest in ESCC cells [87]. MAP9, a microtubule‑stabilizing agent that mediates mitotic spindle assembly, when silenced, causes severe mitotic defects and promotes colorectal cancer development [88]. STMN is involved in microtubule polymerization, and its downregulation leads to G2/M arrest in glioblastoma cells [89]. Furthermore, inhibition of PRC1 expression also induces G2/M arrest in lung adenocarcinoma cells [60], while overexpression of PRC1 drives HCC tumor progression and relieves G2/M checkpoint blockade through the p21/p27/pRB cascade [90].

Taken together, the cytoskeleton plays a critical role in tumor cell proliferation, thereby driving cancer progression. In‑depth studies on the cytoskeleton have not only enhanced our understanding of cancer biology but also provided potential therapeutic targets for the development of novel treatment strategies.

3.2. Cytoskeletal Dynamics in Cancer Metastasis

Invasion and metastasis constitute a principal hallmark of the cancerous phenotype. The role of cytoskeletal dynamics in cancer metastasis has attracted considerable attention. Cytoskeletal dynamics influence cancer metastasis through multiple mechanisms, including epithelial–mesenchymal transition (EMT), differential protein expression, the immune microenvironment, and signaling pathways. Cytoskeletal dynamics related to cancer metastasis are summarized in Table 2.

TABLE 2.

Summary of cytoskeletal dynamics‐associated molecules and mechanisms in cancer metastasis.

Cytoskeletal structure Main contributor Target/mechanism Cancer type References
Intermediate filament Vimentin CAF Lung adenocarcinoma [92]
Intermediate filament Vimentin DNA nonhomologous end joining repair Cancer [93]
Intermediate filament KRT8 EMT Gastric cancer [95]
Intermediate filament KRT17 EMT Gastric cancer [96]
Actin‐binding protein Ezrin E‐cadherin Cholangiocarcinoma [97]
Actin‐binding protein TAGLN Invadopodia formation and EMT Bladder cancer [98]
Actin filament cross‐linking protein FLNA EMT Colon cancer [99]
Actin cytoskeleton ARHGAP29 RhoA/ROCK signaling pathway Melanoma [100]
Actin cytoskeleton ARHGAP10 PI3K/Akt/GSK3β signaling pathway Non‐small cell lung cancer [101]
Actin‐binding protein Cofilin‐1 RhoA–LIMK2–Cofilin‐1 signaling pathway Colorectal cancer [102]
Microtubule‐associated protein MAP4 GSK3β/β‐catenin signaling pathway Hepatocellular cancer [103]
Cytoskeletal tropomyosin TPM2 Fascin‐1 Cancer [104]
Microtubule STMN2 TGF‐β signaling pathway Hepatocellular carcer [105]
Microtubule STMN2 WNT/β‐catenin signaling pathway Pancreatic cancer [106]
Microtubule STMN1 E‐cadherin Hypopharyngeal squamous cell carcinoma [107]
Actin‐binding protein Cortactin The Arp 2/3 complex Head and neck squamous cell carcinoma [110]
Actin‐related protein Arp2/3 TGF‐β signaling pathway Breast cancer [111]
Actin‐related protein Arp2/3 TGF‐β signaling pathway Pancreatic ductal adenocarcinoma [112]
Actin‐binding protein EPLIN Rab21 endosomes Breast cancer [114]
Actin‐binding protein Palladin Actin polymerization Cancer [115]
Cytoskeleton ACTN Alternative splicing Glioblastoma [116]
Actin‐regulating protein CAP1 Phosphorylation Pancreatic cancer [117]
Microtubule GEF‐H1 RhoA signaling pathway Breast cancer [118]
Cytoskeleton ARHGEF7 Actin cytoskeleton Colorectal adenocarcinoma [122]
Intermediate filaments Vimentin Actin stress fibers and podosomes Lung adenocarcinoma [124]
Actin‐binding protein LSP1 − Cervical cancer [125]
Microtubule‐associated protein NEK2 AKT signaling pathway Hepatocellular carcinoma [127]
Microtubule Stathmin RhoA/ROCK signaling pathway Neuroblastoma [131]
Actin dynamics‐related protein SCIN RhoA/FAK signaling pathway Glioma [132]
α‐tubulin ATAT1 RhoA signaling pathway Breast cancer [133]
Actin‐binding protein Cofiln‐1 P38 MAPK signaling pathway Prostate cancer [135]
Microtubule STMN1 P38 MAPK signaling pathway Non‐small cell lung cancer [136]
Actin‐binding protein TWF2 Hippo signaling pathway Renal cell carcinoma [137]
Intermediate filament IFFO1 IQGAP3–Cdc42 Lung cancer [138]
Microtubule‐associated protein MAP4 The ERK–c‐Jun–vascular endothelial growth factor A signaling pathway Esophageal squamous cell carcinoma [140]

Abbreviations: ACTNs, α‐actinins; ARHGAP10, Rho GTPase activating protein 10; ARHGEF7, Rho guanine nucleotide exchange factor 7; Arp, actin‐related protein; CAP1, cyclase‐associated protein 1; EPLIN, epithelial protein lost in neoplasm; FLNA, filamin A; GEFs, guanine nucleotide exchange factors; KRTs, keratins; LSP1, leukocyte‐specific protein 1; MAPs, microtubule‐associated proteins; NEK2, never in mitosis gene A‐related kinase 2; SCIN, scinderin; STMN, stathmin; TAGLN, transgelin.

3.2.1. Epithelial–Mesenchymal Transition

EMT represents a typical event in the initial phase of tumor metastasis (Figure 3A). During this process, the cytoskeleton undergoes profound reorganization: microtubules adopt a more radial arrangement with accelerated plus‑end growth, actin stress fibers align in parallel with the long axis of the cell, while FAs shrink in size [91].

FIGURE 3.

FIGURE 3

Cytoskeletal remodeling drives cancer metastasis. (A) Epithelial–mesenchymal transition. Ezrin links membrane proteins to actin; its downregulation promotes E‐cadherin internalization and migration in cholangiocarcinoma. ARHGAP29, MAP4, STMN1, and STMN2 promote EMT in various cancers. Cofilin‑1 regulates actin organization through RhoA–LIMK2–Cofilin‑1 signaling to modulate EMT in colon cancer. TAGLN drives EMT and invadopodia formation in bladder cancer. FLNA correlates with Snail‑induced EMT. KRT8 promotes proliferation/migration via integrin β1–FAK‑dependent EMT; KRT17 loss induces EMT and metastasis. (B) Differential protein expression. The Arp2/3 complex activates TGF‑β signaling, upregulates N‑cadherin, vimentin, MMP‑9, MMP‐3, and promotes metastasis. WAVE2/ACTN4 signaling enhances pancreatic cancer motility via p27 phosphorylation. EPLIN drives breast cancer migration by regulating integrin recycling from Rab21 endosomes. Microtubule dynamics regulate contractility and focal adhesion maturation through Rho GTPase and GEF‐H1. FAK reorganizes actin to promote migration. ARHGEF7 regulates actin cytoskeleton and is linked to colorectal metastasis. SMYD2‑induced cytoskeletal remodeling drives breast cancer metastasis. (C) Regulation of the immune microenvironment. Vimentin coordinates actin stress fibers and podosomes to promote macrophage‑mediated degradation of the ECM and lung cancer invasion. LSP1, an actin‑binding protein expressed in TIM‑3‑low CD4+/CD8+ T cells, correlates with activated B and T cell abundance. Microtubule dynamics regulate vesicle transport and immunosuppressive cytokine secretion, affecting T cell function. NEK2 drives HCC invasion/metastasis via AKT/MMP‑2 and supports marginal zone B cell development. (D) Regulation of signaling pathways. Stathmin promotes neuroblastoma metastasis via RhoA/ROCK signaling and transendothelial migration independently of tubulin; Notch‑1 also activates RhoA/ROCK to drive F‑actin remodeling and contractility. SCIN activates RhoA/FAK to promote glioma migration/invasion. Cofilin‑1 drives prostate cancer migration/invasion through p38 MAPK‑mediated actin remodeling. STMN1 promotes migration via microtubule stabilization, and also via p38 MAPK/STAT1 independently of microtubules. IFFO1 negatively regulates lung cancer metastasis by inhibiting IQGAP3–Cdc42 interaction. TNF‑α induces CLASP2/IQGAP1‑dependent cytoskeletal remodeling to drive bladder cancer metastasis. MAP4 promotes ESCC invasion/migration via ERK–c‑Jun–VEGF‑A signaling. Wnt/β‑catenin activation correlates with adrenocortical carcinoma invasiveness, coordinating cytoskeletal reorganization and signaling to promote metastasis.

Several cytoskeletal proteins directly contribute to EMT and subsequent migration. Among intermediate filaments, vimentin serves as both a hallmark of EMT and a key driver of metastasis. It facilitates lung adenocarcinoma metastasis by maintaining interactions between heterogeneous cancer cells and fibroblasts [92], and it also regulates lipid metabolism via adipose triglyceride lipase, thereby playing a role in inhibiting metastasis under DNA damage conditions [93]. Epithelial cell migration requires KRT [94]. KRT8 overexpression enhances proliferation and migration in gastric cancer, and integrin β1–FAK‑induced EMT occurs only in cells with high KRT8 expression [95]. Conversely, downregulation of KRT17 induces E‑cadherin loss, triggers EMT, and promotes metastatic behavior in gastric cancer cells [96]. In addition, actin‑binding proteins modulate EMT through distinct mechanisms. Ezrin maintains epithelial integrity by interacting with E‑cadherin; its downregulation during cholangiocarcinogenesis leads to E‑cadherin internalization and enhanced cell migration [97]. TAGLN, which is highly expressed in metastatic bladder cancer, promotes cell migration by inducing EMT [98]. Filamin A (FLNA) upregulation correlates with EMT and altered cell adhesion [99].

Beyond these direct structural regulators, multiple signaling pathways orchestrate actin cytoskeleton dynamics, induce EMT, and promote cancer invasion. The Rho/ROCK axis is a prominent mediator. For instance, Rho GTPase activating protein (ARHGAP)29 promotes EMT via the RhoA/ROCK pathway [100], whereas ARHGAP10, which is expressed at low levels in non‐small cell lung cancer (NSCLC), inhibits EMT by inactivating the PI3K/Akt/GSK3β pathway [101]. Cofilin‑1, another key regulator, modulates actin organization through the RhoA–LIMK2–Cofilin‑1 cascade, thereby affecting EMT in colon cancer cells [102]. The PI3K/Akt pathway is also targeted by other proteins. MAP4 promotes EMT in HCC by regulating the GSK3β/β‑catenin signaling axis [103]. Interestingly, tropomyosin isoforms encoded by TPM2 regulate fascin‑1 activity, thereby inhibiting cancer metastasis [104]. The Wnt/β‑catenin pathway is another target. STMN2, which is upregulated in HCC, coordinates microtubule depolymerization via the TGF‑β pathway to promote EMT [105], and in pancreatic ductal adenocarcinomas (PDAC), it activates Wnt/β‑catenin signaling, inducing EMT and altering Cyclin D1 expression [106]. Similarly, STMN1 promotes EMT by downregulating E‑cadherin [107]. Finally, the Notch1 pathway exerts a counteracting effect. Its activation induces cytoskeletal remodeling, enhances cell–cell junctions and cell–matrix adhesion, and prevents GSK‑3β phosphorylation and β‑catenin nuclear translocation, thereby upregulating E‑cadherin and strengthening tight junctions, ultimately inhibiting cell migration [108].

3.2.2. Differential Protein Expression

Dysregulation of the actin cytoskeleton enhances the motility and invasiveness of tumor cells (Figure 3B). A number of actin‑binding proteins and MAPs have been implicated in this process, each contributing through distinct molecular mechanisms.

Among these proteins, cortactin plays a central role in cell migration and is overexpressed in many solid tumors [109]. Cortactin promotes the formation of branched actin networks by activating the Arp2/3 complex. This activation drives cell migration and increases degradation of the ECM through the regulation of invadopodia formation and activity [110]. Moreover, the Arp2/3 complex significantly upregulates the expression of mesenchymal markers such as matrix metalloproteinase (MMP)‑9, MMP‑3, N‑cadherin, and vimentin, while also activating the TGF‑β signaling pathway, thereby promoting EMT [111]. In PDAC, the Arp2/3 complex is involved in metastasis, a process that is associated with TGFβ1 [112]. Another group of actin regulators, the WAVE family proteins, also activate the Arp2/3 complex to stimulate actin polymerization. In particular, WAVE2 signaling, in coordination with ACTN4, selectively stimulates p27 phosphorylation, thereby enhancing the invasiveness of pancreatic cancer cells [113].

In addition to the Arp2/3‑related pathways, several other actin‑binding proteins directly modulate cell migration. Epithelial protein lost in neoplasm (EPLIN) drives breast cancer cell migration by regulating integrin recycling from Rab21 endosomes [114]. Palladin accelerates actin polymerization and is associated with cancer metastasis [115]. Filamins (FLNs) and ACTNs are both linked to cell migration, and dysregulation of their alternative splicing further enhances migratory capacity [116]. Cyclase‐associated protein 1 (CAP1) may regulate the invasiveness of pancreatic cancer cells through its effects on actin filament turnover [117].

Beyond the actin cytoskeleton itself, microtubules and FAs also play critical roles in cell migration. During migration, microtubules undergo dynamic turnover, which influences FA maturation via Rho GTPase regulation. The interaction between microtubules and the actomyosin network is governed by GEF‑H1, which is set free either when microtubules depolymerize or when it separates from FAs [118]. Cell migration further depends on the formation of FAs [119, 120], and FAK drives actin cytoskeleton reorganization to promote cancer cell migration [121]. Additionally, Rho guanine nucleotide exchange factor 7 (ARHGEF7) is associated with colorectal adenocarcinoma metastasis, and its function involves the regulation of actin cytoskeletal dynamics [122]. SET and MYND domain‐containing protein 2 (SMYD2) methyltransferase‑induced cytoskeletal remodeling has been shown to drive breast cancer metastasis [123].

3.2.3. Regulation of the Immune Microenvironment

Cytoskeletal dynamics significantly affects tumor immune evasion and metastatic potential by altering immune cell function and infiltration (Figure 3C). This process plays a critical role in mediating the interaction between tumor cells and immune cells.

Several cytoskeletal components have been implicated in modulating specific immune cell types. Vimentin coordinates actin stress fibers and podosomes, thereby promoting macrophage‑mediated degradation of the ECM. This degradation subsequently enhances the invasive ability of lung cancer cells [124]. Leukocyte‐specific protein 1 (LSP1) is mainly localized in CD4+ and CD8+ T cells, and is positively correlated with the abundance of activated B cells, CD8+ T cells, and CD4+ T cells [125]. Additionally, the density and dynamics of the microtubule network regulate vesicle transport, which is associated with the secretion of immunosuppressive cytokines, thereby affecting the function of effector T cells [126].

Beyond T cells and macrophages, other cytoskeletal regulators influence B cell development and tumor metastasis. For instance, altered expression levels of NEK2 may contribute to the metastasis of HCC, possibly through the activation of AKT signaling and the promotion of MMP‑2 expression [127]. NEK2 serves a critical function in marginal zone B‑cell development, and additionally, it may be involved in the formation of conventional B cells. Furthermore, cancer cells can directly remodel the actin cytoskeleton to impair natural killer (NK) cell activation. This remodeling promotes the recruitment of inhibitory signals to the immunological synapse, thereby suppressing NK cell function.

3.2.4. Regulation of Signaling Pathways

Signaling pathways plays a critical role in tumor cell metastasis (Figure 3D). The cytoskeleton can influence tumor cell behavior through multiple signaling cascades, most notably the Rho pathway and the mitogen‐activated protein kinases (MAPK) pathway, among others.

During metastasis, the ECM is broken down by cancer cells through the formation of actin‑enriched protrusions called invadopodia. The formation of these structures is regulated by Rho GTPases [128]. Among these, the Rho/ROCK axis stands out as a key regulator of cell motility. It modulates the cytoskeleton by stabilizing actin filaments and promoting the formation of stress fibers [129]. For example, activation of the RhoA/ROCK1 axis promotes actin cytoskeleton remodeling, thereby enhancing the metastatic ability of gastric cancer cells [130]. STMN mediates neuroblastoma metastasis through RhoA/ROCK signaling, and this effect occurs in a tubulin‑independent manner [131]. Additionally, Notch‑1 signaling activates the RhoA/ROCK pathway, leading to F‑actin reorganization and myosin‑mediated contractile force generation [108].

Beyond the core Rho/ROCK axis, other proteins modulate this pathway to influence metastasis. RhoA itself controls actin filament organization and stress fiber formation, and its inhibition can paradoxically enhance cancer cell invasion. Scinderin (SCIN) regulates the actin by activating the RhoA/FAK signaling pathway, thereby promoting the migration of glioma cells [132]. Disruption of alpha‐Tubulin acetyltransferase 1 (ATAT1) downregulates microtubule acetylation and consequently inhibits RhoA expression [133]. Moreover, the inflammatory cytokine IL‑1β promotes cancer cell metastasis by activating RhoA signaling, which induces actin remodeling and pseudopodia formation [134].

In addition to the Rho pathway, other signaling cascades also contribute to tumor cell migration through cytoskeletal regulation. Cofilin‑1 promotes F‑actin cytoskeleton remodeling and enhances the migration of prostate cancer cells by activating the p38 MAPK signaling pathway [135]. STMN1 promotes cell migration by regulating microtubule stability. Additionally, it can promote cell migration through activation of the p38 MAPK/STAT1 signaling pathway in a manner independent of microtubule stability [136]. As an actin‐binding protein, Twinfilin 2 interacts with YAP and prevents its degradation, thereby inhibiting the Hippo signaling pathway and promoting renal cell carcinoma (RCC) metastasis [137]. In contrast, the intermediate filament protein IFFO1 inhibits the IQ Motif Containing GTPase Activating Protein 3 (IQGAP3)–Cdc42 interaction in a dose‑dependent manner, thereby negatively regulating lung cancer cell metastasis [138]. TNF‐α promotes cytoplasmic linker associated protein 2 (CLAS2)/IQGAP1‐dependent cytoskeletal remodeling, thereby driving bladder cancer metastasis [139]. MAP4 promotes the migration of ESCC cells by activating the ERK–c‐Jun–VEGF‐A signaling pathway [140]. Activation of the Wnt/β‐catenin signaling pathway is associated with the invasiveness of adrenocortical carcinoma. Activated tumor cells reorganize the cytoskeletal network and coordinate signaling pathways to promote tumor cell metastasis [141].

Taken together, the cytoskeleton promotes cancer metastasis via diverse molecular mechanisms. Systematic elucidation of these mechanisms will not only deepen our knowledge of the metastatic process but also provide important insights for the design of novel therapeutic approaches.

3.3. Cytoskeletal Dynamics in Programmed Cancer Cell Death

Cytoskeletal dynamics play a crucial role in programmed cell death in cancer, influencing tumor cell survival and death through various mechanisms. The regulation of signaling pathways enables cytoskeletal dynamics to exert effects on apoptosis, autophagy, and disulfidptosis, among others. Cytoskeletal dynamics related to cancer cell death are summarized in Table 3.

TABLE 3.

Mechanistic pathways linking cytoskeletal dynamics to programmed cell death and angiogenesis in cancer.

Consequence Cytoskeletal structure Main contributor Target/mechanism Cancer type References
Apoptosis Intermediate filaments CK18 FAS and FADD Cervical cancer [142]
Apoptosis Intermediate filament KRT8 Annexin A2 Anaplastic thyroid carcinoma [143]
Apoptosis Intermediate filament KRT8/18 FAS Granulosa cell tumors [144]
Apoptosis Microtubule‐binding protein NUSAP1 − Renal cell carcinoma [145]
Apoptosis Microtubule‐associated protein MAP9 ERCC3 Hepatocellular carcinoma [146]
Apoptosis Microtubule‐associated protein MASTL DNA damage Thyroid cancer [147]
Apoptosis Microtubule STMN1 − Lung squamous cell carcinoma [148]
Apoptosis Microtubule STMN1 p38 MAPK kinase and p53/p21 signaling pathway Gallbladder carcinoma [149]
Autophagy Microtubule LC3 Methylation and degradation Ovarian cancer [150]
Autophagy Microtubule‐associated protein Tau Autophagosome–lysosome fusion Hepatocellular carcinoma [151]
Autophagy Actin cytoskeleton CLDN6 JNK/c‐Jun signaling pathway Breast cancer [152]
Autophagy Actin‐binding protein TWF1 cAMP signaling pathway Lung adenocarcinoma [153]
Autophagy Intermediate filament Vimentin Rictor/AKT/β‐catenin signaling pathway Cancer [154]
Autophagy Microtubule‐associated protein MAP7 − Cervical cancer [155]
Disulfidptosis Actin cytoskeleton DRGs DNA methylation Pan‐cancer [156]
Disulfidptosis Actin cytoskeleton CD2AP NADPH and actin network Hepatocellular carcinoma [157]
Anoikis Intermediate filament Vimentin Integrin β1 Cancer [158]
Angiogenesis Actin cytoskeleton ADD3 VEGF–VEGFR‐2 Glioblastoma [160]
Angiogenesis Intermediate filament Vimentin Inflammation Cancer [161]
Angiogenesis Cytoskeleton associated protei CKAP4 EGFL6/CKAP4/ERK axis Colorectal cancer [162]

Abbreviations: ADD3, adducin 3; CD2AP, CD2‐associated protein; CKAP, cytoskeleton‐associated protein; ENAH, enabled homolog; KRTs, keratins; LC3, microtubule‐associated protein 1 light chain 3 alpha; MAPs, microtubule‐associated proteins; MAST, microtubule‐associated serine/threonine kinase; NUSAP1, nucleolar and spindle‐associated protein 1; STMN, stathmin.

3.3.1. Apoptosis

Apoptosis can be triggered by internal and external signals that involve various enzymes (such as caspases) and diverse signaling pathways (Figure 4A). During epithelial cell apoptosis, cytokeratin 18 (CK18) undergoes caspase‐mediated cleavage. In addition, CK18 regulates the transcription of the apoptosis‐related genes FAS and FADD, as well as the immune‐related genes CXCL2 and CD79B [142]. Under peroxide‐induced cellular stress conditions, KRT8 overexpression confers resistance to apoptosis [143]. KRT 8/18 confers antiapoptotic ability in granulosa cell tumors by reducing FAS expression [144]. The expression of NUSAP1 is relatively elevated in RCC. Depletion of NUSAP1 inhibits RCC cell proliferation and induces apoptosis [145]. Ectopic expression of MAP9 in cancer cells induces apoptosis and cell cycle arrest [146]. Depletion of MASTL is associated with enhanced DNA damage, ultimately leading to apoptosis [147]. Lung squamous cell carcinoma (LSCC) cells with STMN1 inhibition exhibit reduced proliferation and invasion abilities, while their apoptotic capacity and sensitivity to paclitaxel are increased [148]. Silencing of STMN1 may regulate p53/p21 signaling pathways. Knockdown of STMN1 induces apoptosis in gallbladder cancers (GBC) cells and delays G2/M phase transition [149].

FIGURE 4.

FIGURE 4

Cytoskeletal remodeling modulates cell death and angiogenesis. (A) Cytoskeletal dynamics in apoptosis. CK18 is cleaved by caspases during apoptosis and transcriptionally regulates apoptotic (FAS, FADD) and immune‑related (CXCL2, CD79B) genes. KRT8 binds to annexin A2, confers resistance to apoptosis under oxidative stress, and together with KRT18 reduces FAS expression to exert antiapoptotic effects in granulosa cell tumors. NUSAP1 depletion inhibits migration, proliferation, and invasion, and induces apoptosis in renal cell carcinoma. MAP9 ectopic expression triggers apoptosis and cell cycle arrest. MASTL depletion enhances DNA damage leading to apoptotic cell death. STMN1 inhibition reduces proliferation/invasion, increases apoptosis and paclitaxel sensitivity; its silencing modulates p38 MAPK/p53/p21 signaling and induces G2/M delay and apoptosis in gallbladder cancer cells. (B) Cytoskeletal dynamics in autophagy. LC3 mediates autophagosome formation; it can degrade CD274 via autophagy–lysosomal pathway to counter immune evasion. LC3B methylation promotes its ubiquitination/degradation, reducing autophagy and exerting protumor effects in ovarian cancer. Tau blocks autophagosome–lysosome fusion to promote tumor growth. CLDN6 regulates autophagy via JNK/c‐Jun pathway. Twinfilin 1 (TWF1) interacts with p62 and participates in autophagy regulation through the cAMP signaling pathway. MAP7 promotes cervical cancer migration, invasion, and EMT through autophagy regulation. (C) Cytoskeletal dynamics in disulfidptosis. CD2AP promotes tumor progression by regulating disulfidptosis. (D) Cytoskeletal dynamics in angiogenesis. YAP promotes endothelial proliferation, migration, and sprouting in response to VEGF and ECM stiffness. ADD3 downregulation in GBM enhances angiogenesis via PCNA‑mediated p53/p21 suppression and VEGF–VEGFR‑2 signaling. Formin‑like 2 regulates colorectal cancer angiogenesis through exosomal EGFL6/CKAP4 signaling. Reduced Akt/Src phosphorylation and F‑actin/β‑tubulin depolymerization collectively impair neovascularization.

3.3.2. Autophagy

Autophagy is a cellular process involving the degradation and recycling of intracellular components, thereby maintaining cellular homeostasis (Figure 4B). LC3 participates in the formation of autophagosomes and is closely related to cellular autophagy. After binding to the PD‐1 receptor, CD274 can help tumor cells evade T‐cell immune surveillance. Posttranslational modifications of LC3 are essential for regulating its function. Methylation of LC3B promotes its ubiquitination and degradation, leading to reduced autophagosome formation, thereby exerting a protumor effect in ovarian cancer [150]. MAPT also promotes xenograft tumor growth by blocking autophagosome–lysosome fusion [151]. Claudin‐6 (CLDN6) regulates autophagy through WASP‐interacting protein (WIP)‐dependent actin cytoskeleton [152]. Twinfilin 1 interacts with p62 and participates in autophagy [153]. The absence of vimentin averts autophagy‑dependent Rictor turnover by curtailing AMP‐activated protein kinase (AMPK)‑directed autophagic signals [154]. MAP7 overexpression in cervical cancer promotes EMT via autophagy control [155].

3.3.3. Disulfidptosis and Others

Disulfidptosis is defined as extensive disulfide bonding to actin cytoskeletal proteins, leading to actin contraction and cytoskeletal disruption, thereby causing cell death (Figure 4C) [156]. CD2‐associated protein (CD2AP) is an actin cytoskeleton‐associated protein that promotes tumor progression by regulating disulfidptosis [157]. Vimentin boosts integrin β1 expression and triggers integrin‑dependent clustering, preventing anoikis [158]. Taken together, the cytoskeleton is involved in the regulation of programmed cancer cell death via various molecular mechanisms.

3.4. Cytoskeletal Dynamics in Angiogenesis

Angiogenesis plays a critical role in tumor progression (Figure 4D). YAP is a key regulator of this process. In endothelial cells, activated YAP promotes proliferation, migration, and sprouting. YAP activity is modulated by both biochemical signals, such as vascular endothelial growth factor (VEGF), and mechanical signals [159].

Several other cytoskeleton‑associated proteins also influence angiogenesis through distinct mechanisms. Adducin 3 (ADD3) is an important assembly factor in the actin cytoskeleton, and its expression is downregulated in glioblastoma multiforme (GBM). In ADD3‑depleted GBM cells, proliferating cell nuclear antigen (PCNA) promotes proliferation and angiogenesis while suppressing p53 and p21 expression. This process induces proangiogenic signaling through VEGF–VEGFR‑2‑mediated endothelial cell activation [160]. Extracellular vimentin exerts proangiogenic effects by functionally mimicking VEGF, but it also acts as an inhibitor of leukocyte–endothelial interactions [161]. Formin‑like 2 promotes epidermal growth factor‐like protein (EGFL6) paracrine signaling via exosomes to regulate angiogenesis in colorectal cancer, and CKAP4 serves as a downstream target of EGFL6 and participates in this process [162]. In addition, depolymerization of actin and β‑tubulin filaments and reduced phosphorylation of Akt/Src collectively lead to decreased neovascularization [163].

In summary, the cytoskeleton is broadly involved in cancer progression at various stages through multiple molecular mechanisms, encompassing key processes such as tumor proliferation, metastasis, cell death, and angiogenesis.

4. Mechanics and Signaling: How Stiffness and Force Shape Tumor Progression

Solid tumors are characterized by an abnormal mechanical microenvironment, in which the finely tunable actin cytoskeleton governs cell mechanics and thus constitutes a central intervention point. Mechanical forces, such as stiffness and stress, have been shown to influence cell growth. Cells primarily sense and respond to various mechanical forces by regulating the cytoskeleton [164]. Hence, mechanical forces should be considered an essential component of the tumor microenvironment.

4.1. Stiffness

Stiffness is a key component of the mechanical microenvironment and is commonly used to describe a material's ability to resist deformation. Different tissues exhibit significantly different stiffness characteristics. For instance, brain tissue is relatively soft, whereas bone tissue has high stiffness. Pathological processes such as inflammation, fibrosis, and tumors can also alter the composition and mechanical properties of the ECM, thereby forming an aberrant mechanical microenvironment [165]. Matrix stiffness is not only a structural feature of tissues but also serves as an important biomechanical signal that regulates cell behavior.

ECM stiffness‑based mechanotransduction is widely recognized as a signaling mechanism operating across healthy and pathological settings. It connects the tumor ECM to the actin cytoskeleton, thereby enabling cells to respond to mechanical signals [166]. The stiffness and migration ability of cancer cells change in response to matrix stiffening [167]. Tumor cells gradually soften during metastasis, and low cell stiffness is associated with high metastatic potential. Increased cell stiffness impairs cell motility, whereas decreased stiffness promotes cell migration and invasion [168]. Cancer cells attenuate their motility by activating the JNK signaling pathway [169]. Furthermore, the mechanical properties of tumor cells determine their self‐renewal through cytoskeletal and Wnt/β‐catenin signaling [170]. Upregulation of Ras/MAPK signaling is accompanied by actin cytoskeletal restructuring and cell softening [171]. Cancer progression is promoted by these mechanical changes, which facilitate cellular motility in physically confined settings [172].

The Hippo signaling pathway is closely associated with changes in mechanical forces and ECM adhesion [173]. YAP is an effector of the Hippo signaling pathway and a key mediator of mechanotransduction. When cells grow on a stiff matrix, YAP is primarily localized in the nucleus. Moreover, mechanical signals can induce the nucleocytoplasmic translocation of YAP by modulating the structure of nuclear pores [174, 175, 176]. Changes in mechanical forces can induce microfilament depolymerization, which in turn regulates YAP distribution, and this exerts a more pronounced effect on tumor cell proliferation and migration [177]. Disheveled‐associated activator of morphogenesis 1 enhances mechanotransduction by activating the RhoA/YAP signaling axis, thereby promoting microfilament remodeling and increasing the migratory ability of tumor cells [178]. In Grade III breast carcinomas, the level of YAP gene signature is higher and correlates with tumor stiffness [179].

Several cytoskeletal proteins and their modulators have been implicated in stiffness‑regulated metastasis and tumor progression. An actin‐binding protein‐modified magnetic nanomotor coupled with a rotating magnetic field can target the actin cytoskeleton and induce its depolymerization, leading to reduced matrix stiffness of tumor cells and suppressed tumor growth [180, 181]. Kinesin family member 20A (KIF20A) overexpression in bladder cancer is linked to cortical stiffness changes via its interaction with Myosin IIA, and its inhibition reduces cell motility [182]. PDAC cell stiffness, meanwhile, is determined by the combined activities of Myosin II, Arp2/3, and formins [183]. Functionally, actomyosin blockade impairs invasion in single and collective cells, whereas actin perturbation may provoke a metastasis‑enhancing escape behavior in individual cancer cells [184]. The actin‐crosslinking protein palladin promotes matrix stiffness by regulating force generation and mechanosensitivity of cancer‐associated fibroblasts [185]. S‐nitrosylation of ezrin promotes the metastasis of NSCLC cells by facilitating mechanotransduction [186].

Nestin, a member of the Type VI intermediate filament family, is abundantly expressed in various aggressively metastatic tumor cells, reflecting the broader role of intermediate filaments in governing cell stiffness and invasive behavior. Expression of nestin increases the mobility of vimentin filaments, leading to reduced cell stiffness [187]. Moreover, nestin can absorb mechanical load and maintain cytoskeletal integrity [188].

4.2. Stress

Activated by shear stress, cellular signaling contributes to the control of migration and proliferation. Shear stress reduces the stiffness of cancer cells via the FAK–ERK1/2 signaling pathway, thereby promoting liver cancer migration [189]. Shear stress induces adaptations in the cell membrane and actin cytoskeleton, while regulating the nuclear translocation of sterol regulatory element‐binding protein 2 (SREBP2) and YAP1, thereby promoting increased chemoresistance [190]. Elevated solid stress in solid tumors is closely associated with the expression of CKAP4. CKAP4 binds to microtubules and subsequently remodels them, thereby enhancing cell spreading and promoting distant metastasis in vivo [191]. Furthermore, intermediate filaments support leader cell invasion by buffering nuclear deformation under compressive stress and by mediating mechanosensitive matrix degradation [192]. Through cortical tension, actomyosin contractility not only drives cell shape changes during mitosis but also links to the maintenance of mitotic spindle integrity [193].

Taken together, the mechanical attributes of cells are markedly affected by cytoskeletal changes, which in turn are tightly associated with the growth and invasive potential of malignant cells [194, 195].

5. Cytoskeletal Dynamics in Cancer Therapy

Cytoskeletal dynamics are gaining increasing attention in cancer therapy (Figure 5). They influence the response of tumor cells through various mechanisms, including conventional therapy, immunotherapy, and molecular targeted therapy.

FIGURE 5.

FIGURE 5

Cytoskeletal dynamics in cancer therapy. (A) Conventional therapies. HURP, NUSAP1, Tau, β3‑tubulin, nestin, STMN1, and Cx43 are aberrantly expressed in cancers and modulate chemotherapy response. Paclitaxel polymerizes microtubules, regulates RhoA, and induces cell cycle arrest. Vinblastine promotes apoptosis via Op18/stathmin, activates Caspase‑3, and inhibits proliferation. Eribulin triggers microtubule acetylation, leading to apoptosis. Microtubule inhibitors (KY216, NOV202, and crocin) and numerous novel compounds selectively target microtubules to suppress cancer cell proliferation and metastasis, exhibiting potent antitumor activity. (B) Immunotherapy. HKDC1 binds ACTA2 to activate STAT1/PD‑L1 signaling, promoting immune escape. Ezrin bridges membrane to actin and positively regulates PD‑L1 expression. DKK1 interacts with macrophage CKAP4 to activate PI3K–AKT, suppressing NK/CD8+ T cell responses; blocking this interaction impairs actin remodeling. CKAP2L correlates with immune subtypes and infiltration, serving as a potential predictor of immunotherapy responsiveness. (C) Molecular targeted therapy. Triptonoterpene regulates actin dynamics and promotes Cofilin‑1 mitochondrial translocation to induce apoptosis. CKAP2L knockdown suppresses proliferation and metastasis while inducing G2/M arrest. Reticulon‑4 knockdown destabilizes tubulin and enhances chemosensitivity via AKT downregulation. Fasudil (ROCK inhibitor) suppresses ovarian cancer invasion by blocking ROCK activation and disrupting cytoskeletal remodeling. 4‑Pyridocarbazolone (LIMK inhibitor) inhibits LIMK‑mediated cofilin phosphorylation, and effectively suppresses tumor metastasis.

5.1. Conventional Therapies

Conventional cancer treatments include chemotherapy and radiotherapy. However, tumor cells often develop resistance to these therapies through various mechanisms. Cytoskeletal dynamics play a crucial role in regulating tumor resistance, with the majority of evidence focusing on microtubule‑associated proteins and their impact on chemotherapeutic efficacy (Figure 5A).

Chemotherapy resistance remains a major obstacle in cancer treatment. Several MAPs have been implicated in this process. HURP is upregulated in various cancer types and enhances drug resistance. Cryo‑electron microscopy analysis revealed an interaction between the tubulin‑binding domain of HURP and the vinca domain on β‑tubulin, which is the target site of Vinca alkaloids [196]. NUSAP1 is significantly upregulated in lung adenocarcinoma and is markedly associated with increased sensitivity to chemotherapeutic agents, contrasting with the resistance‑promoting role of other proteins [197]. Tau is associated with increased drug resistance in various cancers. Prostate cancer cells that relapse after docetaxel treatment exhibit higher levels of the MAPT [198]. Overexpression of β3‑tubulin is similarly linked to resistance to MTA [199, 200]. In melanoma, nestin depletion affects signaling through the integrin and PI3K/AKT/mTOR pathways, leading to increased abundance and phosphorylation of FA kinase, which is associated with acquired resistance to vemurafenib [201]. High expression of STMN1 is correlated with poor response to docetaxel‑based chemotherapy [202]. Beyond these individual proteins, the increased direct interaction between the gap junction protein connexin43 (Cx43) and microtubules plays an important role in chemotherapy resistance in glioblastoma. Disrupting this interaction in glioma stem cells significantly enhances the efficacy of chemotherapy [203]. Furthermore, STAT3 is activated in paclitaxel‑resistant cells, whereas STMN is inactivated. STAT3 inhibitors reverse paclitaxel resistance by inhibiting the STAT3–STMN interaction, thereby promoting cell death [204].

Microtubules are a well‐established target for anticancer pharmacotherapy, with examples including paclitaxel, vinblastine, and eribulin. Paclitaxel‐induced microtubule polymerization in cancer cells regulates the level of RhoA and induces cell cycle arrest [205]. Vinblastine promotes apoptosis in cancer cells via Op18/STMN, activates Caspase 3, and inhibits cell proliferation and migration [206]. Microtubule acetylation and PERK activation elicited by eribulin give rise to endoplasmic reticulum‑to‑mitochondria calcium overload, with subsequent apoptotic cell death [207].

MTAs primarily kill cancer cells during mitosis. Microtubule inhibitors, such as KY216, NOV202, and crocin, bind to microtubule to inhibit cancer cell proliferation and metastasis, demonstrating potent anticancer efficacy [208, 209, 210]. However, mitotic death can be circumvented by a subset of cancer cells following MTA treatment, which then exit mitosis and give rise to polyploid giant cancer cells (PGCCs). ST‐401, a mild microtubule assembly inhibitor that preferentially kills cancer cells during interphase, can avoid the development of PGCCs [211].

In recent years, many novel compounds have been developed that selectively target microtubule to exert antitumor effects. Among them, 4‐(6‐((3‐methoxyphenyl)amino)pyrimidin‐4‐yl)‐N,N‐dimethylbenzenamine selectively targets gamma‐tubulin 1 to inhibit the progression of lung cancer [212]. A novel selenium‐containing lead compound 2 g binds to the colchicine site of tubulin, leading to G2/M cell cycle arrest [213]. Erianin derivatives can inhibit microtubule polymerization, induce intracellular ferroptosis, and exhibit excellent antitumor activity in NSCLC [214]. Silybin derivatives inhibit tubulin activity and the expression of EMT‐related proteins, while upregulating the antimetastatic protein Cyclin B1, thereby suppressing CRC metastasis [215]. Furthermore, some novel compounds, such as 1,2,3‐triazole arylamide derivatives, tetrazolo[1,5‐a]pyrimidine, thienopyridine indole derivatives, and nicotinic acid derivatives, promote microtubule depolymerization, induce G2/M phase arrest, and facilitate apoptosis in cancer cells [216, 217, 218, 219, 220, 221, 222].

5.2. Immunotherapy

Immunotherapy represents a major advancement in cancer treatment (Figure 5B). However, many solid tumors, particularly the immunosuppressive tumor microenvironment they create, suppress the expression of innate immune molecules, thereby limiting immune cell infiltration. Actin cytoskeleton remodeling drives cancer cells to evade NK cell‐mediated cytotoxicity [223]. Furthermore, cytoskeletal dynamics influence the immune response within the TME by regulating immune cell infiltration.

Immune checkpoint blockade (ICB) therapy shows great promise in treating various malignant tumors. However, immune escape severely weakens the therapeutic effect of ICB. Hexokinase domain component 1 (HKDC1) activates the STAT1/PD‐L1 signaling pathway in tumor cells by binding to the cytoskeletal protein ACTA2 [224]. This ultimately promotes tumor immune escape. Immune checkpoint inhibitors (ICIs) targeting CD274/PD‐L1 have demonstrated significant clinical efficacy. As an immune checkpoint molecule, PD‑L1 is localized to the plasma membrane of numerous cancer cells and serves to suppress T‑cell‑mediated immune monitoring. Ezrin is a crucial actin‑binding protein that bridges the plasma membrane to actin filaments during lamellipodia formation, cell polarization, and migration [225]. Furthermore, interfering with ezrin expression significantly reduces the expression of PD‐L1 [226].

Tumor‑associated macrophages are critical for driving immune evasion, thus compromising the efficacy of ICIs in cancer therapy. By interacting with CKAP4 on macrophages and activating PI3K–AKT signaling, dickkopf‐1 (DKK1) suppresses the antitumor immune responses mediated by NK cells and CD8+ T cells [227]. A recent study designed an aptamer inhibitor that blocks the interaction between CKAP4 and DKK1, thereby inhibiting the PI3K/AKT signaling pathway and consequently impairing the reorganization of the actin cytoskeleton during cell migration [228]. Therefore, DKK1 represents a potential target for enhancing PD‐1 blockade therapy in cancer. Furthermore, the association of CKAP2L with immune subtypes, immune cell infiltration, and the tumor immune landscape highlights its promise as a predictor of responsiveness to cancer immunotherapy [81].

Microtubule inhibitors can also enhance the efficacy of immunotherapy by disrupting microtubule dynamics. Combretastatin A4, a microtubule inhibitor that targets tumor vascular endothelial cells, effectively inhibits microtubules in tumor endothelial cells and enhances T cell infiltration and activation [229]. Therefore, targeting microtubules represents a promising immunomodulatory strategy.

5.3. Molecular Targeted Therapy

Molecular targeted therapy provides effective treatment by targeting key molecules in tumor cells (Figure 5C). Cytoskeletal dynamics play an important role in this therapy. Katanin is a critical cytoskeletal component that plays a major role in microtubule severing. To date, a compound, PubChem CID 122589735, has been identified that inhibits katanin, representing a novel anticancer therapy [230]. Triptonoterpene exerts proapoptotic effects on gastric cancer cells by virtue of its regulation of actin dynamics and its promotion of Cofilin‑1 translocation to mitochondria [231]. The actin cytoskeleton is specifically targeted and disrupted by core‑shell metal‑organic framework nanoparticles, resulting in inhibition of cancer cell migration [232]. Knockdown of CKAP2L markedly suppresses the proliferation and metastatic capacity of KIRC cells while triggering G2/M cell‑cycle arrest [81]. Knockdown of reticulon‐4 affects tubulin stability and enhances the cytotoxic effect of chemotherapeutic drugs on cancer cells by downregulating the AKT signaling pathway [233].

Targeting regulators of the cytoskeleton can also provide effective therapy. ROCK is a regulator of the actin cytoskeleton and is frequently overexpressed in various malignant tumors. ROCK inhibitors possess strong anticancer activity and promote apoptosis [234]. Novel pyrazolo[1,5‐a]pyrimidine derivatives act as ROCK inhibitors and suppress cancer metastasis [235]. LIMK2 plays a critical role in regulating actin cytoskeleton and influences cancer cell proliferation. ChemDiv‐8020‐2508, NCI300395 and ChemDiv‐7997‐0024 are potential candidates for cancer therapies targeting LIMK2 [236]. Tau is a promoter of tubulin assembly into microtubules, and its dysregulated expression is associated with various cancers [237, 238]. Flavonoid hybrid derivatives target the Tau protein and exert anticancer effects in glioblastoma [237].

Taken together, these findings demonstrate that cytoskeletal dynamics, particularly those involving microtubules and their associated proteins, are central to both the efficacy and resistance of cancer therapies. The development of novel microtubule‑targeting compounds offers promising strategies to overcome resistance. Continued elucidation of these mechanisms will be essential for the design of anticancer agents.

6. Cytoskeletal Dynamics in Cancer Clinical Applications

Targeting the cytoskeleton has emerged as a novel therapeutic approach against chemotherapy‑resistant tumors, with a growing body of clinical research in this area, offering encouraging prospects for cancer treatment. Cytoskeletal dynamics related to cancer clinical applications are summarized in Table 4.

TABLE 4.

Clinical trials of cytoskeleton targeting chemotherapeutic agent.

NCT number Cytoskeleton type Drug/treatment Cancer type Status
NCT00836160 Microtubule The third‐line antimicrotubule agents Non‐small‐cell lung cancer Completed
NCT03393741 Microtubule Antimicrotubule drugs (taxane, eribulin, vinorelbine, and ixabepilone) Breast cancer Terminated
NCT02171260 Microtubule Eribulin mesylate Recurrent or refractory solid tumors Completed
NCT03250299 Microtubule BAL101553 Glioblastoma Terminated
NCT01469598 Microtubule Docetaxel Esophageal squamous cell cancer Completed
NCT04823897 Microtubule CCI‐001 Recurrent and/​or metastatic solid tumors Recruiting
NCT00423410 Microtubule EPC2407 Solid tumor or lymphoma Completed
NCT07439094 Microtubule CKD‐703 Non‐small‐cell lung cancer Recruiting
NCT04503265 Microtubule AMXI‐5001 Advanced malignancies Recruiting
NCT02097238 Microtubule Eribulin mesylate Recurrent or refractory osteosarcoma Completed
NCT03482362 Microtubule Vinorelbine tartrate Advanced BRAF‐like colon cancer Completed
NCT04683445 Microtubule Eribulin Advanced breast cancer Unknown status
NCT01186731 Microtubule Liposome‐entrapped docetaxel Locally advanced or metastatic pancreatic cancer Completed
NCT06548672 Microtubule BC3195 Advanced or metastatic cancer Recruiting
NCT03257891 Microtubule Cabazitaxel Adrenocortical Carcinoma Unknown status
NCT04662580 Microtubule ARX517 Metastatic prostate cancer Active, not recruiting
NCT02404506 Microtubule Eribulin mesilate Advanced breast cancer Terminated
NCT06857305 Microtubule

Eribulin biweekly regimen

Eribulin standard regimen

Locally recurrent or metastatic HER2‐negative breast cancer Enrolling by invitation
NCT01913652 Microtubule Cabazitaxel Dedifferentiated liposarcoma Completed
NCT02037529 Microtubule Eribulin mesylate, paclitaxel Recurrent Stage IIIC–IV breast cancer Suspended
NCT02047214 Microtubule TPI 287 Glioblastoma multiforme Terminated

Note: Data were acquired from NIH‐ClinicalTrials.gov (https://clinicaltrials.gov/).

6.1. Actin Filament‐Targeting Agents

Actin filament‑targeting drugs exert antimetastatic effects by disrupting actin dynamics, thereby inhibiting the invasive capacity of cancer cells. Although this target has attracted considerable attention, the presence of actin filaments in normal cells often leads to severe adverse effects associated with such agents. Consequently, their development remains confined to the preclinical stage [239], and to date, no actin filament‑targeting drug has received approval from the United States Food and Drug Administration (US FDA).

Given that direct targeting of actin filaments frequently results in normal tissue toxicity, research interest has now increasingly focused on upstream regulatory molecules of actin filaments, including kinases such as ROCK and LIMK. ROCK serves as a core component of the Rho signaling pathway and exerts a critical function in the metastatic process of cancer. Fasudil, a ROCK inhibitor approved for clinical use in China, effectively suppresses ovarian cancer cell invasion by blocking ROCK activation and disrupting cytoskeletal remodeling [240]. LIMK serves as a critical downstream kinase in the ROCK signaling pathway, stabilizing actin filaments through the phosphorylation and inactivation of cofilin. The compound 4‑pyridocarbazolone, a selective LIMK inhibitor, acts by blocking LIMK‑mediated cofilin phosphorylation, which in turn promotes actin depolymerization and reduces the formation of cellular invasive protrusions, consequently exerting significant suppression on tumor cell proliferation and metastatic potential [241]. Since ROCK and LIMK inhibitors are capable of disrupting cytoskeletal remodeling, targeting these upstream regulatory molecules may offer a viable strategy for cytoskeleton‑based therapy.

6.2. Microtubule‑Targeting Agents

With regard to clinical research on the cytoskeleton in cancer, the overwhelming majority of efforts are currently directed toward microtubules, and to date, only MTA have been granted marketing authorization by US FDA. Microtubules are involved in spindle assembly and are indispensable for rapidly proliferating cancer cells, thereby constituting highly attractive targets for the development of anticancer therapeutics. MTAs are broadly categorized into two classes: microtubule‑stabilizing agents and microtubule‑destabilizing agents. Microtubule‑stabilizing agents act by promoting the polymerization of tubulin into microtubules and preventing their depolymerization, thereby inducing aberrant microtubule stabilization and impairing normal spindle function. Taxanes represent the classic microtubule‑stabilizing agents, with representative drugs including paclitaxel, docetaxel, and cabazitaxel, which are clinically employed in the management of lung, breast, prostate, and other malignancies [242, 243, 244, 245]. Microtubule‑destabilizing agents are capable of suppressing tubulin polymerization or accelerating the disassembly of preformed microtubules. Vinca alkaloids serve as classic microtubule‑destabilizing anticancer agents, with vinblastine and vincristine being representative examples [246, 247]. Their mechanism of action involves binding to β‑tubulin, perturbing microtubule dynamics, and subsequently inducing apoptosis. In clinical practice, these two drugs are primarily indicated for the treatment of lymphoma and breast cancer [248, 249]. All the above‑mentioned MTAs have been granted marketing authorization by US FDA.

Nevertheless, prolonged administration of MTAs is often associated with acquired resistance. In this context, P‑glycoprotein functions as a drug efflux pump that actively transports taxanes out of tumor cells, ultimately conferring resistance to taxanes [250]. Cabazitaxel is a semi‑synthetic analog of docetaxel that was developed as a strategy to overcome drug resistance. It exhibits low affinity for P‑glycoprotein, thereby retaining antitumor activity against drug‑resistant cancer cells. Cabazitaxel was approved by the US FDA in 2010 for the treatment of metastatic prostate cancer patients whose disease had progressed on docetaxel [251]. Furthermore, additional clinical studies have demonstrated that cabazitaxel is also highly effective in patients with metastatic cancer, even in those who are resistant to taxane‑based agents [252]. Furthermore, Ixabepilone acts by stabilizing microtubules, thereby inhibiting mitosis. Owing to its low affinity for P‑glycoprotein, this agent retains its antitumor activity even in tumor cells that have acquired resistance to conventional MTAs. Ixabepilone was approved by the US FDA in 2007 for patients with advanced metastatic cancer who had progressed after taxane‑based chemotherapy [253].

6.3. Intermediate Filament‐Targeting Agents

Intermediate filaments constitute a principal component of the cytoskeleton and display distinct tissue‑specific expression patterns. Nevertheless, given their involvement in normal physiological processes, including immune responses and tissue repair, their inhibition is likely to compromise the function of normal tissues [254]. To date, therefore, no anticancer agent targeting intermediate filaments has advanced into clinical investigation, nor has the US FDA granted approval to any such agent.

Taken together, although cytoskeleton‑targeting agents have shown remarkable efficacy in clinical cancer treatment, their widespread use is severely constrained by normal cell toxicity. Therefore, alleviating adverse effects on healthy tissues represents a critical challenge that must be addressed in the current development of these drugs. Future investigations should prioritize the design of precision delivery systems that enable targeted therapy toward malignant cells, thereby improving the therapeutic window and reducing systemic toxicity.

7. Conclusion and Future Perspectives

This study explores the changes in the cytoskeleton in cancer, as well as its upstream and downstream regulatory mechanisms. Additionally, it introduces the mechanical microenvironment closely associated with the cytoskeleton and how it shapes tumor progression. The cytoskeleton is involved in multiple aspects of cancer cell proliferation, including metabolic reprogramming, differential protein expression, signaling pathway regulation, and cell cycle control. Furthermore, it participates in tumor metastasis, cell death, and angiogenesis, thereby providing a foundation for tumor development. A key mechanism of cancer metastasis is EMT, which enhances the migratory ability of cancer cells by converting epithelial cells into mesenchymal cells, thereby promoting tumor metastasis. The cytoskeleton regulates EMT‐related signaling pathways and influences cancer metastasis. Moreover, the cytoskeleton plays a critical role in programmed cell death, including apoptosis, autophagy, and disulfidptosis.

Therapeutic approaches targeting cytoskeletal dynamics have rapidly emerged as a promising direction in cancer treatment. Conventional strategies such as chemotherapy, radiotherapy, and some targeted therapies primarily aim to induce apoptosis. However, resistance to apoptosis, particularly in advanced or refractory tumors, remains a major obstacle. To address this issue, various microtubule‐targeting compounds have been developed, which inhibit microtubule dynamics and reverse chemotherapy resistance. Furthermore, the cytoskeleton regulates the infiltration and activation of immune cells, thereby influencing cancer immunotherapy; it also mediates the expression of immune checkpoints, promoting tumor immune evasion.

The cytoskeleton holds great promise as a therapeutic target in oncology. MTAs have demonstrated notable efficacy in clinical cancer treatment. However, their application is severely constrained by off‑target toxicity to normal cells. Consequently, mitigating adverse effects on healthy tissues represents a critical challenge that must be addressed in current drug development efforts. Future research should prioritize the design of precision delivery systems capable of specifically targeting malignant cells, thereby improving the therapeutic window and reducing systemic toxicity. In parallel, the development of inhibitors directed against other cytoskeletal components may offer novel and more selective therapeutic options. Advancing our understanding of cytoskeleton will facilitate the design of more effective treatment regimens, ultimately improving patient survival outcomes and quality of life.

Author Contributions

Jie Chen: writing – original draft, visualization, and formal analysis. Wenxi Yang: writing – original draft. Yonghan Song: writing – original draft. Yuanhao Zhang: writing – review and editing and Visualization. Jia Ma: writing – review and editing, visualization, and data curation. Tingyao Wang: visualization and data curation. Jijun Zheng: visualization and data curation. Hebin Zhang: visualization. Yiyao Liu: writing – review and editing and conceptualization. Jinhao Zeng: writing – review and editing and conceptualization. All authors have read and approved the final manuscript.

Ethics Statement

The authors have nothing to report.

Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

We thank BioRender for helping us in our drawing process. This research was supported, in part or in whole, by the National Natural Science Foundation of China (82174346, 82474474), the Xinglin Scholar Research Promotion Project of Chengdu University of TCM (Grant No. QJJJ2024005), and Young Elite Scientists Sponsorship Program by CACM [CACM‐(2024‐QNRC2‐A10)]. The authors thank Bullet Edits Limited for the linguistic editing and proofreading of the manuscript.

Contributor Information

Yiyao Liu, Email: liuyiyao@uestc.edu.cn.

Jinhao Zeng, Email: zengjinhao@cdutcm.edu.cn.

Data Availability Statement

The authors have nothing to report.

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