Abstract
Gastric cancer is a lethal malignancy with highly variable clinical behavior, reflecting both inter-tumor diversity and marked heterogeneity within individual lesions. Large-scale genomics data (including TCGA and ACRG) has delineated recurring molecular subtypes, while expression- and immunohistochemistry-based schemes provide clinically practical surrogates. However, single-cell and spatial profiling reveal that most tumors comprise multiple malignant epithelial states alongside diverse cancer-associated fibroblast (CAF) and immune programs that vary spatially, evolve during progression, and are remodeled by therapy. The Hippo pathway effectors YAP and TAZ act as central integrators of oncogenic, inflammatory, and mechanical cues that coordinate these dynamic states. In gastric cancer, YAP/TAZ activity is enriched in diffuse/EMT-like and mesenchymal phenotypes, associates with peritoneal dissemination, and contributes to immune evasion and treatment resistance. Here, we link YAP/TAZ activity to gastric cancer subtype heterogeneity and emphasize two interconnected dimensions: (i) cell heterogeneity, encompassing coexisting epithelial lineage states and CAF subsets within tumors; and (ii) cell plasticity, highlighting reversible transitions that enable invasion, metastasis, and drug resistance. Finally, we propose a framework of YAP/TAZ-governed epithelial-stromal ecotypes and discuss implications for biomarkers and rational combination strategies incorporating Hippo-targeted agents with chemotherapy, stromal modulation, and immunotherapy.
Keywords
YAP, TAZ, TEAD1-4, gastric cancer, tumor heterogeneity, cancer-associated fibroblasts, tumor microenvironment
1. Introduction
Despite advances in surgery, chemotherapy, targeted approaches, and immune checkpoint blockade, outcomes for advanced gastric cancer remain poor [1]. A major barrier is heterogeneity across scales: stable genomic and histopathological features coexist with dynamic, non-genetic cell-state diversity in malignant and stromal compartments, generating variable routes of invasion, metastatic tropism, and variable therapeutic responses within and between patients [2-4].
To date, genomic and transcriptomic cluster-based subtype classification frameworks have guided clinical practice [5]. These schemes, however, largely reflect average tumor composition and typically do not capture region-specific lineage mixtures, tumor-stroma architecture, or state shifts driven by inflammation, matrix remodeling, or treatment [6-8]. In contrast, scRNA-seq, spatial transcriptomics, and multiplex imaging show that gastric cancers often contain coexisting malignant states (for example, gastric, intestinal/metaplastic, progenitor-like, and partial EMT programs) [9,10], alongside diverse cancer-associated fibroblast (CAF) and myeloid and T cell states organized into structured spatial ecologies [11,12].
Specifically, the oncoproteins YAP and TAZ (WWTR1), Hippo-pathway transcriptional co-activators, are emerging as key regulators of these ecologies [13]. By integrating receptor signaling, inflammatory cues, and mechanical stress, YAP/TAZ shape transcriptional programs governing proliferation, survival, differentiation, motility, and extracellular matrix (ECM) remodeling, in both tumor cells and CAFs [14,15]. Accordingly, we use YAP/TAZ activity as a unifying lens to link subtype heterogeneity with two intertwined themes: cell heterogeneity (the repertoire of epithelial and stromal states present at a given time) and cell plasticity (their capacity to interconvert during progression and therapy) [16-18].
2. Genomic and Cellular Heterogeneity of Gastric Cancer
Classical histopathological systems, such as the Lauren classification, separate gastric cancer into intestinal and diffuse types [19]. Although these categories correlate with anatomical location and clinical behavior, they only partially reflect the molecular diversity revealed by sequencing and transcriptional profiling [20,21].
The Cancer Genome Atlas (TCGA) has defined several GC tumor subtypes, including Epstein-Barr virus (EBV)-positive (showing PIK3CA mutations and PD-L1 amplifications), microsatellite instable (MSI, showing high mutational burden), chromosome instable (CIN, with recurrent tyrosine kinase amplifications), and genomically stable (GS) tumors, enriched for diffuse histology, which frequently carry alterations affecting adhesion and cytoskeletal signaling. Likewise, the Asian Cancer Research Group (ACRG) reported MSI, MSS/TP53-active, MSS/TP53-inactive, and MSS/EMT-like groups, with distinct recurrence patterns. Among these subtypes, YAP/TAZhigh cells are more populous in progenitor-like, EMT-like, and GS tumors with CAF-rich mesenchymal subtypes. In contrast, YAP/TAZlow cells predominate in less aggressive (with inflamed immune programs) EBV-positive and MSI tumors (Figure 1) [22,23], although focal YAP/TAZ niches may still arise at invasive fronts [24,25]. Large-scale analyses further suggest additionally conserved genomic subtypes that refine these frameworks and improve cross-cohort reproducibility [26].
Expression- and IHC-based approaches bridge discovery of subtypes and clinical pathology [27] and can reveal mixtures of CIN-like, MSI-like, and EBV-like features, indicating that clinically intestinal disease may include stromal-rich and EMT-leaning regions with elevated YAP/TAZ [28,29]. Integrative simplified workflows combining molecular class with lymph node status and histopathological features further demonstrate how microenvironmental context modifies clinical risk beyond genotype alone [30]. Early gene-expression studies identified intrinsic classes associated with survival and differential chemotherapy benefit, and subsequent work defined molecular subtypes with distinct responses to PI3K inhibition and 5-fluorouracil, emphasizing that subtype assignments can reveal drug sensitivity [31,32]. Moreover, IHC surrogate panels can approximate TCGA-like classes and capture clinically relevant variation within intestinal tumors, while simplified integrative workflows combine limited molecular testing with routine pathology variables [28-30].
Cellular heterogeneity adds a dynamic layer beyond bulk subtyping [12] with specific cellular combinations enriched in defined niches such as invasive fronts, hypoxic regions, and metastatic deposits [13,33]. State composition can also diverge between primary tumors and metastases, particularly in peritoneal dissemination, where malignant lineage diversity and immune-stromal reprogramming are pronounced [34,35]. Together, these findings argue for subtype models that integrate both genotype (e.g., alterations) and spatial-temporal state expression (e.g., the states of where and when) [36].
3. Core Features of the Hippo-YAP/TAZ Pathway in Gastric Cancer
In the canonical Hippo pathway, the MST1/2-SAV1 complex phosphorylates and activates LATS1/2 kinases, which in turn phosphorylate YAP and TAZ, promoting their cytoplasmic retention and proteasomal degradation [37,38]. When Hippo signaling is suppressed, unphosphorylated YAP/TAZ accumulate in the nucleus, where they primarily partner with TEAD transcription factors (along with context-dependent partners such as AP-1, β-catenin, and SMADs) to drive transcriptional programs that promote cell growth, survival, migration, and extracellular matrix (ECM) remodeling [39-41].
As shown in Figure 2, multiple upstream inputs can drive YAP/TAZ activation in gastric cancer [42]. For example, chronic inflammatory cues (including Helicobacter pylori-associated pathways) and growth factor signaling converge on cytoskeletal tension and regulation of Hippo kinase [14]. Genetic lesions enriched in diffuse/GS disease, such as CDH1 loss and alterations in the RHO-family pathway, disrupt cell-cell adhesion and polarity, thereby promoting nuclear accumulation of YAP/TAZ [15,43]. In parallel, receptor tyrosine kinase amplification and integrin-mediated mechanotransduction can sustain YAP/TAZ activity in CIN-like tumors, particularly within stiff, desmoplastic microenvironments [16,17].
Post-translational mechanisms can further fine-tune Hippo signaling pathway activity [44]. For example, ubiquitin-dependent regulation (including deubiquitinases and E3 ligases) controls YAP/TAZ abundance and the stability of Hippo components, creating druggable opportunities to reactivate Hippo signaling (i.e., suppress YAP/TAZ activity) or dampen TEAD-driven transcription [20,21]. Because many upstream cues are shared between tumor cells and CAFs, YAP/TAZ can coordinate epithelial and stromal responses to common inflammatory and mechanical stimuli [45].
4. Tumor Cell Heterogeneity and YAP/TAZ-Driven Plasticity
Single-cell analyses further highlight tumor diversity [12]. In metastatic peritoneal metastases, malignant cells can show striking lineage diversity, including coexisting gastric and intestinal-like programs within the same patient sample, contributing to intratumoral transcriptomic heterogeneity that is negatively associated with survival [35,46]. Multiplex profiling of peritoneal metastases likewise reveals molecular subtypes and actionable targets that can be obscured by bulk-level averaging [34].
YAP/TAZ play critical roles in maintaining stem-like traits and migratory competence [47]. Mechanistically, YAP can reinforce plasticity through cooperation with lineage and stemness factors; for example, YAP1-induced SOX9 expression promotes stem-like properties in upper gastrointestinal epithelial cancers, illustrating how YAP can couple mechanical or inflammatory cues to lineage regulators in gastric cancer [47-49]. In diffuse-type models, CDH1 loss drives epigenetic reprogramming and immune evasion, changes that may sustain protumorigenic YAP/TAZ activation by weakening junctional restraint and reshaping chromatin accessibility [43,50]. To demonstrate YAP/TAZ GC causation, it was shown that Lats1/2 knockout (activating YAP1) in pyloric stem cells resulted in proliferation of Lgr5-positive gastric epithelial stem cells, inducing (via Myc) tumorigenic progression from low-grade intraepithelial neoplasia to intramucosal GC [51].
Plasticity becomes most evident during dissemination and under therapeutic pressure [52]. Peritoneal metastasis, common in diffuse/EMT-like disease, causes substantial morbidity and remains difficult to treat [53]. YAP1 is a functional driver of peritoneal metastasis in gastric adenocarcinoma, and YAP1 inhibition can reduce dissemination in preclinical models [48]. To study this, patient-derived peritoneal carcinomatosis cell lines and orthotopic models have now recapitulated key features of human disease, enabling mechanistic interrogation of YAP/TAZ-regulated drug resistance and metastatic behavior [49,54].
Therapy can select for, or actively induce, YAP/TAZ-high tolerant states [55]. Across multiple cancer types, YAP/TAZ signaling is linked to partial EMT, enhanced stress tolerance, and resistance to both targeted therapies and chemotherapy [50,56,57]. As YAP/TAZ activity can promote immune exclusion and dampen antigen presentation through stromal remodeling and cytokine circuits, integrating YAP/TAZ status with immune biomarkers may improve patient stratification [58].
5. Cancer-Associated Fibroblast (CAF) Heterogeneity and Plasticity in Gastric Cancer
CAFs are major architects of the gastric tumor microenvironment and are highly heterogeneous [36]. Single-cell and spatial studies have identified distinct subtypes, including myofibroblastic CAFs (myCAFs) with contractile and extracellular matrix (ECM) remodeling, inflammatory CAFs (iCAFs) that secrete cytokines and chemokines, antigen-presenting CAFs (apCAFs) expressing MHC class II molecules, and additional niche-associated fibroblast states that vary across tumors and anatomical sites [59-61] (Figure 3). CAF composition correlates with epithelial phenotype and outcome, with stromal-rich, immune-excluded configurations frequently accompanying diffuse/EMT-like disease [62,63].
CAF plasticity reflects both diverse origins and context-dependent reprogramming [64]. Resident fibroblasts, pericytes, and mesothelial- or epithelial-derived cells can contribute to CAF pools, and exposure to TGF-beta, IL-1, IL-6, and growth factors can shift CAFs between inflammatory and myofibroblastic phenotypes [65,66]. Temporal profiling in other cancers shows that CAF state frequencies change during tumor growth and with therapy, supporting a view of CAFs as dynamic states rather than fixed lineages [67].
YAP and TAZ are central mediators of mechanosensitive CAF activation [68]. Increased ECM stiffness, integrin signaling, and actomyosin contractility drive nuclear YAP/TAZ translocation in fibroblasts, promoting collagen deposition, fibronectin organization, contractility, and secretion of profibrotic factors that further stiffen the matrix [69-71]. This feed-forward loop can both facilitate invasion and impair drug delivery [72].
Distinct YAP/TAZ-dependent CAF reprogramming can also build metastasis-supporting niches [73]. PDPN-positive, LTBP1-positive CAFs promote liver pre-metastatic niche formation through a PDPN-YAP-LTBP1 axis coupled to chemokine-driven recruitment of CCR3-positive myeloid cells, illustrating how specific CAF states can be mechanistically defined and therapeutically targeted [62,71]. More broadly, CAFs reshape tumor ecosystems by modulating ECM biomechanics, growth factor availability, and immune-cell trafficking, implying that CAF-directed therapies should reprogram or selectively disrupt tumor-promoting states, rather than indiscriminately ablating fibroblasts [74,75].
CAF-immune interactions also influence YAP/TAZ-high ecotypes [76]. In gastric adenocarcinoma, tumor-associated macrophage infiltration correlates with PD-L1 expression, linking myeloid context to immune checkpoint signaling within microenvironmental programs that often co-occur with desmoplasia [77,78]. Because YAP/TAZ activity can be amplified by cytokines and mechanical cues generated in CAF- and myeloid-rich niches, myeloid and CAF plasticity should be jointly considered when interpreting YAP/TAZ activity in patient samples and designing combination therapies [79].
6. Tumor-Stroma Crosstalk and YAP/TAZ-Defined Ecotypes
Activation of YAP/TAZ programs in tumor cells and CAFs is interconnected through paracrine signaling and mechanical feedback [80]. YAP/TAZ-high epithelial tumor cells can secrete CTGF, CYR61, amphiregulin, and WNT/TGF-β-related factors that activate fibroblasts and promote matrix remodeling. In turn, activated CAFs increase stiffness and release cytokines and growth factors that sustain YAP/TAZ activity in tumor cells, reinforcing malignant state transitions and cellular plasticity (Figure 4) [6,81,82]. This reciprocity suggests that gastric tumors can adopt recurring epithelial-stromal ecotypes characterized by coupled cell-state composition, spatial architecture, and immune context [36]. Spatial and longitudinal profiling across progression supports this model, revealing coordinated evolution of immune and stromal states as tumor-intrinsic and microenvironmental programs co-emerge and co-adapt over time [58].
A clinically important YAP/TAZ-high, EMT/mesenchymal-like ecotype is characterized by hybrid EMT malignant states, abundant contractile CAFs, a dense fibrotic matrix, relative immune exclusion, and a high propensity for peritoneal and liver metastasis [18,19]. Conversely, MSI- and EBV-positive tumors more often display inflamed ecotypes with lower stromal activation, stronger cytotoxic T cell signatures, and a higher response to PD-1 blockade [13,25]. Notably, ecotype switching can occur during therapy and metastatic spread [1].
Conceptualizing ecotypes as dynamic states reframes biomarker priorities: beyond genotype alone, assessments should incorporate YAP/TAZ activity, CAF composition, matrix organization, and immune context in a spatially resolved manner [33]. Serial sampling and non-invasive biomarkers that monitor these features could enable adaptive strategies aimed at constraining and preventing progression towards YAP/TAZ-high tolerant ecotypes [46]. While several such GC ecotypes remain minimally feasible for human clinical use, we note that a machine learning framework, Ecotype [83], has been used to delineate spatial TME profiles in breast cancer [84] and specific, prognostically valuable immunophenotypes in melanoma [85]. Application of such tools to YAP/TAZ GC ecotypes could facilitate their clinical translation.
7. Therapeutic Implications
Hippo/YAP1-targeting therapeutics remain clinically limited in gastric cancer. However, an ongoing clinical trial (NCT06944249) is examining the effects of a potent YAP inhibitor, verteporfin [86], on fibrosis in surgical wounds, in addition to a phase I (NCT05873686) dose escalation study, in various solid tumors, of the Src family kinase inhibitor NXP900 (which also targets YAP/TAZ signaling [87]). Furthermore, a novel YAP/TEAD inhibitor, VT3989, developed by Vivace Therapeutics, is currently in a clinical trial (NCT04665206) for advanced solid tumors, showing antitumor activity and being well tolerated [88]. Consistent with these clinical efforts, preclinical studies have shown that verteporfin inhibits YAP/TEAD signaling and suppresses the growth of YAP-driven tumors [89,90], while the YAP/TEAD inhibitor CA3 suppresses YAP-dependent transcription, inhibits tumor growth, and enhances therapeutic responses across multiple cancer types [91-94]. A recent study from our group of a novel YAP/TEAD inhibitor, VT00278, that highly suppresses tumor growth by targeting YAP/TEAD signaling and disturbing RNA Pol II activity, enhanced immunotherapy response via an activated cytosolic DNA-sensing pathway in gastroesophageal cancer (Zhang Y et al., MCT 2026 in press). Similarly, the TEAD inhibitors GNE-7883 and K-975 effectively block YAP/TAZ–TEAD signaling and suppress the growth of YAP-dependent tumors [95,96] (Table 1). Such studies could, at a minimum, provide proof-of-concept of YAP/TEAD targeting, including toxicity to normal tissues. In a meta-analysis of 68 solid tumor studies with 8631 patients, tumor YAP1 overexpression negatively affected overall survival, disease-free survival, and recurrence-free survival [97], while in human head/neck squamous cell cancer, YAP-active tumors conferred the worst prognosis of several tumor classification groups [98]. As shown in Figure 5, numerous targeting approaches in gastric cancer are now feasible, including targeting YAP1/TEAD-mediated ECM-stromal-tumor interactions, pathway-focused strategies (FAKi, ROCKi, TGFfi and LOXi, etc.), and immunotherapy, in addition to conventional chemotherapies [36]. The therapeutic relevance of YAP/TAZ stems from their position at the intersection of oncogenic signaling, inflammation, and tissue mechanics [59]. Although direct targeting is challenging because YAP/TAZ are non-enzymatic co-activators, several approaches are advancing, including agents that disrupt TEAD palmitoylation or YAP/TAZ-TEAD binding, and strategies that restore Hippo kinase (MST1/2 or LATS1/2) activity [21,42,99]. More advanced strategies targeting YAP/TAZ/TEAD degradation, such as molecular glue and RIPTAC, are now under development. Moreover, YAP inhibition can sensitize YAP/TAZ-dominant cells to cytotoxic therapy. Until completion of clinical studies, however, it remains unknown how YAP targeting would interact with standard-of-care regimens (e.g., HER2-targeted therapies).
In gastric cancer models, pharmacological reactivation of Hippo signaling suppresses YAP activity and increases sensitivity to DNA-damaging chemotherapy, and YAP inhibition can similarly enhance responses in YAP/TAZ-dominant contexts [17,52]. Our previous reports also demonstrated that targeting YAP/TAZ/TEAD can sensitize chemotherapy and radiation therapy [57,100]. These findings support combining Hippo/TEAD targeting with standard cytotoxic regimens, particularly for diffuse/EMT-like and peritoneal metastatic disease, where YAP/TAZ activity is often highest [24,48]. In addition to preclinical rodent models, our group has used patient-derived xenograft (PDX) and patient-derived orthotopic (PDO) models, and lentiCRISPR knockout, to demonstrate YAP1’s critical role in mediating GC peritoneal metastasis [48].
Because mechanical cues reinforce YAP/TAZ signaling, targeting upstream mechanotransduction pathways (for example, focal adhesion kinase, Rho-ROCK signaling, integrin pathways, or collagen crosslinking) may reduce nuclear YAP/TAZ, soften desmoplastic stroma, and improve drug penetration [37,38]. Similarly, selectively disrupting tumor-promoting CAF states (e.g., PDPN-YAP-LTBP1 niche CAFs) or blocking CAF-derived pathways such as TGF-beta or CXCL12-CXCR4 could break epithelial-stromal feedback loops and curb plasticity [62,63].
Immunotherapy adds an additional rationale for combination strategies [25]. Profiling of PD-1 blockade responses in metastatic gastric cancer underscores the need to integrate tumor-intrinsic and microenvironmental determinants [39]. In YAP/TAZ-high ecotypes marked by desmoplasia and immune exclusion, pairing Hippo/TEAD inhibition or stroma-modulating approaches with checkpoint blockade is a logical avenue to test, provided on-target effects on normal tissue repair can be managed through dosing and patient selection [13,40].
Biomarkers should capture both tumor heterogeneity and cellular plasticity [33]. Candidate indicators include nuclear YAP/TAZ localization in tumor cells and CAFs, YAP/TAZ target-gene signatures, ECM/CAF markers (such as PDPN, LTBP1, FAP, and CTHRC1), and spatial metrics of invasive-front ecotypes [71]. Prospective, biomarker-stratified trials will be essential to test whether limiting YAP/TAZ-driven state switching improves durable disease control [41].
Successful therapeutic targeting of the YAP/TAZ signaling pathway still faces many clinical barriers. These include (but are not limited to) intratumoral heterogeneity in YAP/TAZ activity, sampling bias in biopsies, the need for serial or spatial profiling, and the lack of validated, non-invasive biomarkers. Regarding intratumoral heterogeneity (which could be present in biopsies), we note that combination therapies (e.g., chemotherapy plus YAP/TAZ inhibitors) could successfully target low-YAP/TAZ subpopulations. Likewise, spatial profiling technologies are now advancing toward clinical practice by providing "real-time" visualizations of the tumor microenvironment [101]. While noninvasive YAP/TAZ biomarkers remain elusive, studies of specific extracellular oncometabolites or chemokines/cytokines could prove informative in this regard.
8. Outlook
Recent genomic, single-cell sequencing, and spatial transcriptomics studies converge on a central conclusion: gastric cancer cannot be fully described by a set of static subtypes [12]. Instead, tumors move through a landscape of epithelial lineages and stromal reprogramming shaped by inflammation, mechanics, and therapy [13].
Framing YAP/TAZ as coordinators of epithelial-stromal plasticity connects genotype, histology, and microenvironmental architecture, motivating new classification and treatment paradigms [33]. Priorities include mapping YAP/TAZ activity and ecotypes in large, clinically annotated cohorts; defining how events such as CDH1 loss and RHOA pathway alterations rewire Hippo dependence; and developing preclinical models that preserve tumor-stroma coupling to evaluate how Hippo-targeted interventions reshape heterogeneity and plasticity [43,49,58].
Ultimately, clinically useful frameworks will need to combine stable molecular strata with dynamic ecotype readouts, enabling therapies that not only match baseline subtype but also anticipate and prevent transitions into drug-tolerant, metastatic states [34,46]. Such approaches could illuminate new means to manage the devastating disease of advanced gastric cancer [35].
Declarations
Funding
This work was supported by grants from the NIH (R01 CA269685), DOD (CA210457 and CA230323), and NJCCR (COCR26RBG006).
Competing Interests
The authors declare no potential conflicts of interest.
Table 1. Phenotypic effects and potential mechanisms of YAP1/TEAD inhibitors
YAP/TEAD Inhibitors | Phenotypic Effect |
Potential Mechanism(s) |
Reference(s) |
| CA3 |
anti-tumorigenic anti-proliferation |
downregulates YAP1, decreases TEAD transcriptional activity |
[91-94, 101] |
| GNE-7883 |
anti-tumorigenic anti-proliferation |
reduces chromatin accessibility at TEAD motifs |
[96] |
| K-975 |
anti-tumorigenic anti-proliferation pro-survival |
disrupts TEAD-to-YAP interaction |
[95] |
| VT3989 |
clinical tumor responses in a clinical trial (NCT04665206) |
blocks TEAD palmitoylation |
[88] |
| VT00278 |
anti-tumorigenicity anti-proliferation proapoptotic |
Suppress YAP/TEAD and disturbs RNA Pol II activity and enhances immunotherapy response via activated cytosolic DNA leading to cGAS-STING activation |
Zhang Y et al., MCT 2026 in press |
| verteporfin |
anti-proliferation suppresses angiogenesis proapoptotic |
sequesters YAP in the cytoplasm by 14-3-3 | [86,89,90] |
References
| 1. |
The Cancer Genome Atlas Research Network. Comprehensive molecular characterization of gastric adenocarcinoma. Nature. 2014;513(7517):202-209.
[Google Scholar]
[CrossRef]
|
| 2. |
Cristescu R, Lee J, Nebozhyn M, Kim KM, Ting JC, Wong SS, et al. Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes. Nat Med. 2015;21(5):449-456.
[Google Scholar]
[CrossRef]
|
| 3. |
Chia NY, Tan P. Molecular classification of gastric cancer. Ann Oncol. 2016;27(5):763-769.
[Google Scholar]
[CrossRef]
|
| 4. |
Sohn BH, Hwang JE, Jang HJ, Lee HS, Oh SC, Shim JJ, et al. Clinical significance of four molecular subtypes of gastric cancer identified by The Cancer Genome Atlas project. Clin Cancer Res. 2017;23(15):4441-4449.
[Google Scholar]
[CrossRef]
|
| 5. |
Ma Y, Jiang Z, Pan L, Zhou Y, Xia R, Liu Z, et al. Current development of molecular classifications of gastric cancer based on omics. Int J Oncol. 2024;65(3):89.
[Google Scholar]
[CrossRef]
|
| 6. |
Ortega Á, Vera I, Diaz MP, Navarro C, Rojas M, Torres W, et al. The YAP/TAZ signaling pathway in the tumor microenvironment and carcinogenesis: current knowledge and therapeutic promises. Int J Mol Sci. 2022;23(1):430.
[Google Scholar]
[CrossRef]
|
| 7. |
Yan Z, Liu Y, Yuan Y. The plasticity of epithelial cells and its potential in the induced differentiation of gastric cancer. Cell Death Discov. 2024;10(1):512.
[Google Scholar]
[CrossRef]
|
| 8. |
Yun H, Dong F, Wei X, Yan X, Zhang R, Zhang X, et al. Role and value of the tumor microenvironment in the progression and treatment resistance of gastric cancer. Oncol Rep. 2025;53(1):14.
[Google Scholar]
[CrossRef]
|
| 9. |
Jia X, Li Z, Zhou R, Feng W, Yi L, Zhang H, et al. Single cell and bulk RNA sequencing identifies tumour microenvironment subtypes and chemoresistance-related IGF1-positive cancer-associated fibroblasts in gastric cancer. Biochim Biophys Acta Mol Basis Dis. 2024;1870(3):167123.
[Google Scholar]
[CrossRef]
|
| 10. |
Thilakasiri P, O'Keefe RN, To SQ, Chisanga D, Eissmann MF, Carli ALE, et al. Mechanisms of cellular crosstalk in the gastric tumor microenvironment are mediated by YAP1 and STAT3. Life Sci Alliance. 2024;7(2):e202302411.
[Google Scholar]
[CrossRef]
|
| 11. |
Matsuoka T, Yashiro M. Molecular mechanism for malignant progression of gastric cancer within the tumor microenvironment. Int J Mol Sci. 2024;25(21):11735.
[Google Scholar]
[CrossRef]
|
| 12. |
Jeong HY, Ham IH, Lee SH, Ryu D, Son SY, Han SU, et al. Spatially distinct reprogramming of the tumor microenvironment based on tumor invasion in diffuse-type gastric cancers. Clin Cancer Res. 2021;27(23):6529-6542.
[Google Scholar]
[CrossRef]
|
| 13. |
Zhang C, Li D, Yu R, Li C, Song Y, Chen X, et al. Immune landscape of gastric carcinoma tumor microenvironment identifies a peritoneal relapse relevant immune signature. Front Immunol. 2021;12:651033.
[Google Scholar]
[CrossRef]
|
| 14. |
Cao Z, An L, Han Y, Jiao S, Zhou Z. The Hippo signaling pathway in gastric cancer. Acta Biochim Biophys Sin (Shanghai). 2023;55(6):893-903.
[Google Scholar]
[CrossRef]
|
| 15. |
Messina B, Lo Sardo F, Scalera S, Memeo L, Colarossi C, Mare M, et al. Hippo pathway dysregulation in gastric cancer: from Helicobacter pylori infection to tumor promotion and progression. Cell Death Dis. 2023;14(1):21.
[Google Scholar]
[CrossRef]
|
| 16. |
Liu X, Wang Y, Chen B, Chan WN, Miu CW, Cheung AH, et al. Targeting the Hippo pathway in gastric cancer and other malignancies in the digestive system: from bench to bedside. Biomedicines. 2022;10(10):2512.
[Google Scholar]
[CrossRef]
|
| 17. |
Cao Z, Hou Y, Zhao Z, Zhang H, Tian L, Zhang Y, et al. Reactivating Hippo by drug compounds to suppress gastric cancer and enhance chemotherapy sensitivity. J Biol Chem. 2024;300(6):107311.
[Google Scholar]
[CrossRef]
|
| 18. |
Kang W, Tong JH, Chan AW, Lee TL, Lung RW, Leung PP, et al. Yes-associated protein 1 exhibits oncogenic property in gastric cancer and its nuclear accumulation associates with poor prognosis. Clin Cancer Res. 2011;17(8):2130-2139.
[Google Scholar]
[CrossRef]
|
| 19. |
Bencivenga M, Torroni L, Dal Cero M, Quinzii A, Zecchetto C, Merz V, et al. YAP activation is associated with a worse prognosis of poorly cohesive gastric cancer. J Pers Med. 2023;13(9):1294.
[Google Scholar]
[CrossRef]
|
| 20. |
Zhang P, Liu D, Zang Y, Wang J, Liu Z, Zhu J, et al. USP12 facilitates gastric cancer progression via stabilizing YAP. Cell Death Discov. 2024;10(1):174.
[Google Scholar]
[CrossRef]
|
| 21. |
Franklin JM, Wu Z, Guan KL. Insights into recent findings and clinical application of YAP and TAZ in cancer. Nat Rev Cancer. 2023;23(8):512-525.
[Google Scholar]
[CrossRef]
|
| 22. |
Riquelme I, Saavedra K, Espinoza JA, Weber H, Garcia P, Nervi B, et al. Molecular classification of gastric cancer: towards a pathway-driven targeted therapy. Oncotarget. 2015;6(28):24750-24779.
[Google Scholar]
[CrossRef]
|
| 23. |
Lee SH, Lee D, Choi J, Oh HJ, Ham IH, Ryu D, et al. Spatial dissection of tumour microenvironments in gastric cancers reveals the immunosuppressive crosstalk between CCL2+ fibroblasts and STAT3-activated macrophages. Gut. 2025;74(5):714-727.
[Google Scholar]
[CrossRef]
|
| 24. |
Oh SC, Sohn BH, Cheong JH, Kim SB, Lee JE, Park KC, et al. Clinical and genomic landscape of gastric cancer with a mesenchymal phenotype. Nat Commun. 2018;9(1):1777.
[Google Scholar]
[CrossRef]
|
| 25. |
Kim ST, Cristescu R, Bass AJ, Kim KM, Odegaard JI, Kim K, et al. Comprehensive molecular characterization of clinical responses to PD-1 inhibition in metastatic gastric cancer. Nat Med. 2018;24(9):1449-1458.
[Google Scholar]
[CrossRef]
|
| 26. |
Jeong YS, Eun YG, Lee SH, Kang SH, Yim SY, Kim EH, et al. Clinically conserved genomic subtypes of gastric adenocarcinoma. Mol Cancer. 2023;22(1):147.
[Google Scholar]
[CrossRef]
|
| 27. |
Daun T, Nienhold R, Paasinen-Sohns A, Frank A, Sachs M, Zlobec I, et al. Combined simplified molecular classification of gastric adenocarcinoma, enhanced by lymph node status: an integrative approach. Cancers (Basel). 2021;13(15):3722.
[Google Scholar]
[CrossRef]
|
| 28. |
Kim HS, Shin SJ, Beom SH, Jung M, Choi YY, Son T, et al. Comprehensive expression profiles of gastric cancer molecular subtypes by immunohistochemistry: implications for individualized therapy. Oncotarget. 2016;7(28):44608-44620.
[Google Scholar]
[CrossRef]
|
| 29. |
Birkman EM, Mansuri N, Kurki S, Ålgars A, Lintunen M, Ristamäki R, et al. Gastric cancer: immunohistochemical classification of molecular subtypes and their association with clinicopathological characteristics. Virchows Arch. 2018;472(3):369-382.
[Google Scholar]
[CrossRef]
|
| 30. |
Gonzalez RS, Messing S, Tu X, McMahon LA, Whitney-Miller CL. Immunohistochemistry as a surrogate for molecular subtyping of gastric adenocarcinoma. Hum Pathol. 2016;56:16-21.
[Google Scholar]
[CrossRef]
|
| 31. |
Tan IB, Ivanova T, Lim KH, Ong CW, Deng N, Lee J, et al. Intrinsic subtypes of gastric cancer, based on gene expression pattern, predict survival and respond differently to chemotherapy. Gastroenterology. 2011;141(2):476-485.e11.
[Google Scholar]
[CrossRef]
|
| 32. |
Lei Z, Tan IB, Das K, Deng N, Zouridis H, Pattison S, et al. Identification of molecular subtypes of gastric cancer with different responses to PI3-kinase inhibitors and 5-fluorouracil. Gastroenterology. 2013;145(3):554-565.
[Google Scholar]
[CrossRef]
|
| 33. |
Kumar V, Ramnarayanan K, Sundar R, Padmanabhan N, Srivastava S, Koiwa M, et al. Single-cell atlas of lineage states, tumor microenvironment, and subtype-specific expression programs in gastric cancer. Cancer Discov. 2022;12(3):670-691.
[Google Scholar]
[CrossRef]
|
| 34. |
Wang R, Song S, Harada K, Ghazanfari Amlashi F, Badgwell B, Pizzi MP, et al. Multiplex profiling of peritoneal metastases from gastric adenocarcinoma identified novel targets and molecular subtypes that predict treatment response. Gut. 2020;69(1):18-31.
[Google Scholar]
[CrossRef]
|
| 35. |
Wang R, Dang M, Harada K, Han G, Wang F, Pool Pizzi M, et al. Single-cell dissection of intratumoral heterogeneity and lineage diversity in metastatic gastric adenocarcinoma. Nat Med. 2021;27(1):141-151.
[Google Scholar]
[CrossRef]
|
| 36. |
Li X, Sun Z, Peng G, Xiao Y, Guo J, Wu B, et al. Single-cell RNA sequencing reveals a pro-invasive cancer-associated fibroblast subgroup associated with poor clinical outcomes in patients with gastric cancer. Theranostics. 2022;12(2):620-638.
[Google Scholar]
[CrossRef]
|
| 37. |
Fu M, Hu Y, Lan T, Guan KL, Luo T, Luo M. The Hippo signalling pathway and its implications in human health and diseases. Signal Transduct Target Ther. 2022;7(1):376.
[Google Scholar]
[CrossRef]
|
| 38. |
Cunningham R, Hansen CG. The Hippo pathway in cancer: YAP/TAZ and TEAD as therapeutic targets in cancer. Clin Sci (Lond). 2022;136(3):197-222.
[Google Scholar]
[CrossRef]
|
| 39. |
Zanconato F, Cordenonsi M, Piccolo S. YAP/TAZ at the roots of cancer. Cancer Cell. 2016;29(6):783-803.
[Google Scholar]
[CrossRef]
|
| 40. |
Luo J, Deng L, Zou H, Guo Y, Tong T, Huang M, et al. New insights into the ambivalent role of YAP/TAZ in human cancers. J Exp Clin Cancer Res. 2023;42(1):130.
[Google Scholar]
[CrossRef]
|
| 41. |
Zhou T, Li X, Liu J, Hao J. The Hippo/YAP signaling pathway: the driver of cancer metastasis. Cancer Biol Med. 2023;20(7):483-489.
[Google Scholar]
[CrossRef]
|
| 42. |
Warren JS, Xiao Y, Lamar JM. YAP/TAZ activation as a target for treating metastatic cancer. Cancers (Basel). 2018;10(4):115.
[Google Scholar]
[CrossRef]
|
| 43. |
Zou G, Huang Y, Zhang S, Ko KP, Kim B, Zhang J, et al. CDH1 loss promotes diffuse-type gastric cancer tumorigenesis via epigenetic reprogramming and immune evasion. J Exp Med. 2024;221(4):e20230561.
[Google Scholar]
[CrossRef]
|
| 44. |
Bala R, Sharma A, Kumar S. Targeting the Hippo/YAP pathway: a promising approach for cancer therapy and beyond. MedComm (2020). 2025;6:e70338.
[Google Scholar]
[CrossRef]
|
| 45. |
Ghaboura N. Unraveling the Hippo pathway: YAP/TAZ as central players in cancer metastasis and drug resistance. EXCLI J. 2025;24:612-637.
[Google Scholar]
[CrossRef]
|
| 46. |
Kim J, Park C, Kim KH, Kim EH, Kim H, Woo JK, et al. Single-cell analysis of gastric pre-cancerous and cancer lesions reveals cell lineage diversity and intratumoral heterogeneity. NPJ Precis Oncol. 2022;6(1):9.
[Google Scholar]
[CrossRef]
|
| 47. |
Song S, Ajani JA, Honjo S, Maru DM, Chen Q, Scott AW, et al. Hippo coactivator YAP1 upregulates SOX9 and endows esophageal cancer cells with stem-like properties. Cancer Res. 2014;74(15):4170-4182.
[Google Scholar]
[CrossRef]
|
| 48. |
Ajani JA, Xu Y, Huo L, Wang R, Li Y, Wang Y, et al. YAP1 mediates gastric adenocarcinoma peritoneal metastases that are attenuated by YAP1 inhibition. Gut. 2021;70(1):55-66.
[Google Scholar]
[CrossRef]
|
| 49. |
Song S, Xu Y, Huo L, Zhao S, Wang R, Li Y, et al. Patient-derived cell lines and orthotopic mouse model of peritoneal carcinomatosis recapitulate molecular and phenotypic features of human gastric adenocarcinoma. J Exp Clin Cancer Res. 2021;40(1):207.
[Google Scholar]
[CrossRef]
|
| 50. |
Lamar JM, Stern P, Liu H, Schindler JW, Jiang ZG, Hynes RO. The Hippo pathway target, YAP, promotes metastasis through its TEAD-interaction domain. Proc Natl Acad Sci U S A. 2012;109(37):E2441-E2450.
[Google Scholar]
[CrossRef]
|
| 51. |
Choi W, Kim J, Park J, Lee DH, Hwang D, Kim JH, et al. YAP/TAZ initiates gastric tumorigenesis via upregulation of MYC. Cancer Res. 2018;78(12):3306-3320.
[Google Scholar]
[CrossRef]
|
| 52. |
Hasegawa T, Sugihara T, Hoshino Y, Tarumoto R, Matsuki Y, Kanda T, et al. Photosensitizer verteporfin inhibits the growth of YAP- and TAZ-dominant gastric cancer cells by suppressing the anti-apoptotic protein survivin in a light-independent manner. Oncol Lett. 2021;22(5):764.
[Google Scholar]
[CrossRef]
|
| 53. |
Cheng PSW, Zaccaria M, Biffi G. Functional heterogeneity of fibroblasts in primary tumors and metastases. Trends Cancer. 2025 Feb;11(2):135-153.
[Google Scholar]
[CrossRef]
|
| 54. |
Luo H, Xia X, Huang LB, An H, Cao M, Kim GD, et al. Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumour microenvironment. Nat Commun. 2022;13(1):6619.
[Google Scholar]
[CrossRef]
|
| 55. |
Xu Y, Li W, Lin S, Liu B, Wu P, Li L. Fibroblast diversity and plasticity in the tumor microenvironment: roles in immunity and relevant therapies. Cell Commun Signal. 2023 Sep;21(1):234.
[Google Scholar]
[CrossRef]
|
| 56. |
Song S, Honjo S, Jin J, Chang SS, Scott AW, Chen Q, et al. The Hippo coactivator YAP1 mediates EGFR overexpression and confers chemoresistance in esophageal cancer. Clin Cancer Res. 2015;21(11):2580-2590.
[Google Scholar]
[CrossRef]
|
| 57. |
Li F, Xu Y, Liu B, Singh PK, Zhao W, Jin J, et al. YAP1-Mediated CDK6 Activation Confers Radiation Resistance in Esophageal Cancer - Rationale for the Combination of YAP1 and CDK4/6 Inhibitors in Esophageal Cancer. Clin Cancer Res. 2019 Apr;25(7):2264-2277.
[Google Scholar]
[CrossRef]
|
| 58. |
Wang R, Song S, Qin J, Yoshimura K, Peng F, Chu Y, et al. Evolution of immune and stromal cell states and ecotypes during gastric adenocarcinoma progression. Cancer Cell. 2023;41(8):1407-1426.e9.
[Google Scholar]
[CrossRef]
|
| 59. |
Kang B, Camps J, Fan B, Jiang H, Ibrahim MM, Hu X, et al. Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment. Genome Biol. 2022 Dec;23(1):265.
[Google Scholar]
[CrossRef]
|
| 60. |
Wang H, Yang L, Chen W, Li K, Xu M, Peng X, et al. High-resolution subtyping of fibroblasts in gastric cancer reveals diversity among fibroblast subsets and an association between the MFAP5-fibroblast subset and immunotherapy. Front Immunol. 2024;15:1446613.
[Google Scholar]
[CrossRef]
|
| 61. |
Zhang X, Ren B, Liu B, Wang R, Li S, Zhao Y, et al. Single-cell RNA sequencing and spatial transcriptomics reveal the heterogeneity and intercellular communication of cancer-associated fibroblasts in gastric cancer. J Transl Med. 2025;23:344.
[Google Scholar]
[CrossRef]
|
| 62. |
Zhao Z, Xiong S, Guo E, Huang H, Zhang Y. PDPN+LTBP1+ cancer-associated fibroblasts induce a liver pre-metastatic niche in gastric cancer via PDPN/YAP/LTBP1 and CCL11/CCR3 axis. Cell Commun Signal. 2025 Sep;23(1):402.
[Google Scholar]
[CrossRef]
|
| 63. |
Qin Y, Wang F, Ni H, Liu Y, Yin Y, Zhou X, et al. Cancer-associated fibroblasts in gastric cancer affect malignant progression via the CXCL12-CXCR4 axis. J Cancer. 2021;12:3011-3023.
[Google Scholar]
[CrossRef]
|
| 64. |
Galbo PM Jr., Zang Y, Zheng D. Molecular Features of Cancer-associated Fibroblast Subtypes and their Implication on Cancer Pathogenesis, Prognosis, and Immunotherapy Resistance. Clin Cancer Res. 2021;27:2636-2647.
[Google Scholar]
[CrossRef]
|
| 65. |
Sun H, Wang X, Wang X, Xu M, Sheng W. The role of cancer-associated fibroblasts in tumorigenesis of gastric cancer. Cell Death Dis. 2022;13(10):874.
[Google Scholar]
[CrossRef]
|
| 66. |
Yamamoto Y, Kasashima H, Fukui Y, Tsujio G, Yashiro M, Maeda K. The heterogeneity of cancer-associated fibroblast subpopulations: their origins, biomarkers, and roles in the tumor microenvironment. Cancer Sci. 2023;114(1):16-24.
[Google Scholar]
[CrossRef]
|
| 67. |
Venning FA, Zornhagen KW, Wullkopf L, Sjölund J, Rodriguez-Cupello C, Kjellman P, et al. Deciphering the temporal heterogeneity of cancer-associated fibroblast subpopulations in breast cancer. J Exp Clin Cancer Res. 2021;40(1):175.
[Google Scholar]
[CrossRef]
|
| 68. |
Wright K, Ly T, Kriet M, Czirok A, Thomas SM. Cancer-associated fibroblasts: master tumor microenvironment modifiers. Cancers (Basel). 2023;15(6):1899.
[Google Scholar]
[CrossRef]
|
| 69. |
Calvo F, Ege N, Grande-Garcia A, Hooper S, Jenkins RP, Chaudhry SI, et al. Mechanotransduction and YAP-dependent matrix remodelling is required for the generation and maintenance of cancer-associated fibroblasts. Nat Cell Biol. 2013;15(6):637-646.
[Google Scholar]
[CrossRef]
|
| 70. |
Ozmen E, Demir TD, Ozcan G. Cancer-associated fibroblasts: protagonists of the tumor microenvironment in gastric cancer. Front Mol Biosci. 2024;11:1340124.
[Google Scholar]
[CrossRef]
|
| 71. |
Chen B, Tang H, Zheng X, Xie F, Yu P, Lyu Y, et al. Spatial and functional dissection of cancer-associated fibroblasts-mediated immune modulation in H. pylori-associated gastric cancer. Mol Cancer. 2025;24:282.
[Google Scholar]
[CrossRef]
|
| 72. |
Zhang X, Ren B, Liu B, Wang R, Li S, Zhao Y, et al. Single-cell RNA sequencing and spatial transcriptomics reveal the heterogeneity and intercellular communication of cancer-associated fibroblasts in gastric cancer. J Transl Med. 2025;23:344.
[Google Scholar]
[CrossRef]
|
| 73. |
Wang H, Yang L, Chen W, Li K, Xu M, Peng X, et al. High-resolution subtyping of fibroblasts in gastric cancer reveals diversity among fibroblast subsets and an association between the MFAP5-fibroblast subset and immunotherapy. Front Immunol. 2024;15:1446613.
[Google Scholar]
[CrossRef]
|
| 74. |
Yang D, Liu J, Qian H, Zhuang Q. Cancer-associated fibroblasts: from basic science to anticancer therapy. Exp Mol Med. 2023 Jul;55(7):1322-1332.
[Google Scholar]
[CrossRef]
|
| 75. |
Xia Z, De Wever O. The plasticity of cancer-associated fibroblasts. Trends Cancer. 2025;11(8):770-789.
[Google Scholar]
[CrossRef]
|
| 76. |
Biffi G, Tuveson DA. Diversity and biology of cancer-associated fibroblasts. Physiol Rev. 2021;101(1):147-176.
[Google Scholar]
[CrossRef]
|
| 77. |
Zhou D, Zheng L. Recent advances in cancer-associated fibroblast: biomarkers, signaling pathways, and therapeutic opportunities. Chin Med J (Engl). 2024;137(6):638-650.
[Google Scholar]
[CrossRef]
|
| 78. |
Harada K, Dong X, Estrella JS, Correa AM, Xu Y, Hofstetter WL, et al. Tumor-associated macrophage infiltration is highly associated with PD-L1 expression in gastric adenocarcinoma. Gastric Cancer. 2018;21(1):31-40.
[Google Scholar]
[CrossRef]
|
| 79. |
Yang D, Liu J, Qian H, Zhuang Q. Cancer-associated fibroblasts: from basic science to anticancer therapy. Exp Mol Med. 2023;55(7):1322-1332.
[Google Scholar]
[CrossRef]
|
| 80. |
Piccolo S, Panciera T, Contessotto P, Cordenonsi M. YAP/TAZ as master regulators in cancer: modulation, function and therapeutic approaches. Nat Cancer. 2023;4(1):9-26.
[Google Scholar]
[CrossRef]
|
| 81. |
Gupta PB, Pastushenko I, Skibinski A, Blanpain C, Kuperwasser C. Phenotypic plasticity: driver of cancer initiation, progression, and therapy resistance. Cell Stem Cell. 2019;24(1):65-78.
[Google Scholar]
[CrossRef]
|
| 82. |
Zhao Z, Mak TK, Shi Y, Li K, Huo M, Zhang C, et al. Integrative analysis of cancer-associated fibroblast signature in gastric cancer. Heliyon. 2023;9(9):e19217.
[Google Scholar]
[CrossRef]
|
| 83. |
Steen CB, Luca BA, Esfahani MS, Azizi A, Sworder BJ, Nabet BY, et al. The landscape of tumor cell states and ecosystems in diffuse large B-cell lymphoma. Cancer Cell. 2021;39(10):1422-1437.e10.
[Google Scholar]
[CrossRef]
|
| 84. |
Du F, Ju J, Zheng F, Gao S, Yuan P. The identification of novel prognostic and predictive biomarkers in breast cancer via elucidation of tumor ecotypes using EcoTyper. Cancer Innov. 2025;4(4):e70013.
[Google Scholar]
[CrossRef]
|
| 85. |
Wang X, Li T, Eljilany I, Soupir A, Radmacher M, Agius P, et al. Multicellular immune ecotypes within solid tumors predict real-world therapeutic benefits with immune checkpoint inhibitors. Nat Commun. 2025;16:9968.
[Google Scholar]
[CrossRef]
|
| 86. |
Wang C, Zhu X, Feng W, Yu Y, Jeong K, Guo W, Lu Y, Mills GB. Verteporfin inhibits YAP function through up-regulating 14-3-3σ sequestering YAP in the cytoplasm. Am J Cancer Res. 2015 Dec;6(1):27-37.
[Google Scholar]
|
| 87. |
Dash S, Hanson S, King B, Nyswaner K, Foss K, Tesi N, et al. The SRC family kinase inhibitor NXP900 demonstrates potent antitumor activity in squamous cell carcinomas. J Biol Chem. 2024;300(9):107615.
[Google Scholar]
[CrossRef]
|
| 88. |
Yap TA, Kwiatkowski DJ, Dagogo-Jack I, Offin M, Zauderer MG, Kratzke R, et al. YAP/TEAD inhibitor VT3989 in solid tumors: a phase 1/2 trial. Nat Med. 2025 Dec;31(12):4281-4290.
[Google Scholar]
[CrossRef]
|
| 89. |
Wei H, Wang F, Wang Y, Li T, Xiu P, Zhong J, et al. Verteporfin suppresses cell survival, angiogenesis and vasculogenic mimicry of pancreatic ductal adenocarcinoma via disrupting the YAP-TEAD complex. Cancer Sci. 2017;108(3):478-487.
[Google Scholar]
[CrossRef]
|
| 90. |
Feng J, Gou J, Jia J, Yi T, Cui T, Li Z. Verteporfin, a suppressor of YAP-TEAD complex, presents promising antitumor properties on ovarian cancer. Onco Targets Ther. 2016;9:5371-5381.
[Google Scholar]
[CrossRef]
|
| 91. |
Song S, Xie M, Scott AW, Jin J, Ma L, Dong X, et al. A novel YAP1 inhibitor targets CSC-enriched radiation-resistant cells and exerts strong antitumor activity in esophageal adenocarcinoma. Mol Cancer Ther. 2018;17(2):443-454.
[Google Scholar]
[CrossRef]
|
| 92. |
Morice S, Mullard M, Brion R, Dupuy M, Renault S, Tesfaye R, et al. The YAP/TEAD axis as a new therapeutic target in osteosarcoma: effect of verteporfin and CA3 on primary tumor growth. Cancers (Basel). 2020;12(12):3847.
[Google Scholar]
[CrossRef]
|
| 93. |
Han S, Lim JY, Cho K, Lee HW, Park JY, Ro SW, et al. Anti-cancer effects of YAP inhibitor (CA3) in combination with sorafenib against hepatocellular carcinoma in patient-derived multicellular tumor spheroid models. Cancers (Basel). 2022;14(11):2733.
[Google Scholar]
[CrossRef]
|
| 94. |
Alva-Ruiz R, Watkins RD, Tomlinson JL, Yonkus JA, Abdelrahman AM, Conboy CB, Jessen E, Werneburg NW, Kuipers H, Sample JW, Gores GJ, Ilyas SI, Truty MJ, Smoot RL. YAP-TEAD inhibition is associated with upregulation of an androgen receptor mediated transcription program providing therapeutic escape. FEBS Open Bio. 2024 Nov;14(11):1873-1887.
[Google Scholar]
[CrossRef]
|
| 95. |
Kaneda A, Seike T, Danjo T, Nakajima T, Otsubo N, Yamaguchi D, et al. The novel potent TEAD inhibitor K-975 inhibits YAP1/TAZ-TEAD protein-protein interactions and exerts an antitumor effect on malignant pleural mesothelioma. Am J Cancer Res. 2020;10(12):4399-4415.
[Google Scholar]
|
| 96. |
Hagenbeek TJ, Zbieg JR, Hafner M, Mroue R, Lacap JA, Sodir NM, et al. An allosteric pan-TEAD inhibitor blocks oncogenic YAP/TAZ signaling and overcomes KRAS G12C inhibitor resistance. Nat Cancer. 2023;4(6):812-828.
[Google Scholar]
[CrossRef]
|
| 97. |
Wu Y, Hou Y, Xu P, Deng Y, Liu K, Wang M, Tian T, Dai C, Li N, Hao Q, Song D, Zhou LH, Dai Z. The prognostic value of YAP1 on clinical outcomes in human cancers. Aging (Albany NY). 2019 Oct;11(19):8681-8700.
[Google Scholar]
[CrossRef]
|
| 98. |
Eun YG, Lee D, Lee YC, Sohn BH, Kim EH, Yim SY, et al. Clinical significance of YAP1 activation in head and neck squamous cell carcinoma. Oncotarget. 2017;8(67):111130-111143.
[Google Scholar]
[CrossRef]
|
| 99. |
Harvey KF, Tang TT. Targeting the Hippo pathway in cancer. Nat Rev Drug Discov. 2025;24(11):852-869.
[Google Scholar]
[CrossRef]
|
| 100. |
Song S, Honjo S, Jin J, Chang SS, Scott AW, Chen Q, et al. The Hippo coactivator YAP1 mediates EGFR overexpression and confers chemoresistance in esophageal cancer. Clin Cancer Res. 2015;21(11):2580-2590.
[Google Scholar]
[CrossRef]
|
| 101. |
Elhanani O, Ben-Uri R, Keren L. Spatial profiling technologies illuminate the tumor microenvironment. Cancer Cell. 2023;41(3):404-420.
[Google Scholar]
[CrossRef]
|