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Surface PD-L1, E-cadherin, CD24, and VEGFR2 as markers of epithelial cancer stem cells associated with rapid tumorigenesis.

Cancer cells require both migratory and tumorigenic property to establish metastatic tumors outside the primary microenvironment. Identifying the characteristic features of migratory cancer stem cells with tumorigenic property is important to predict patient prognosis and combat metastasis. Here we established one epithelial and two mesenchymal cell lines from ascites of a bladder cancer patient (i.e. cells already migrated outside primary tumor). Analyses of these cell lines demonstrated that the epithelial cells with surface expression of PD-L1, E-cadherin, CD24, and VEGFR2 rapidly formed tumors outside the primary tumor microenvironment in nude mice, exhibited signatures of immune evasion, increased stemness, increased calcium signaling, transformation, and novel E-cadherin-RalBP1 interaction. The mesenchymal cells on the other hand, exhibited constitutive TGF-β signaling and were less tumorigenic. Hence, targeting epithelial cancer stem cells with rapid tumorigenesis signatures in future might help to combat metastasis.

B7-H1 Antigen

Targeting cancer stem cells predicts response and reverses chemoresistance in ascites-derived ovarian cancer organoids.

BACKGROUND: Ovarian cancer (OC) is frequently diagnosed at an advanced stage, where tumor heterogeneity and rapid development of chemoresistance contribute to a poor prognosis. The lack of reliable predictive biomarkers further hinders the development of effective treatment strategies. Patient-derived organoids (PDOs) have recently emerged as promising preclinical models with the potential to predict therapeutic responses. METHODS: OC PDOs were generated from ascites samples representing diverse histological subtypes. Histological and genomic fidelity to parental tumors was confirmed through histopathological analysis and whole-exome sequencing. Drug sensitivity to cisplatin and poly (ADP-ribose) polymerase (PARP) inhibitors was evaluated and correlated with 1-year clinical outcomes. We also investigated the therapeutic efficacy of oncolytic herpes simplex virus 2 (OH2) both as a single agent and in combination with cisplatin. The expression of cancer stem cell (CSC) markers CD44 and ALDH1A1 under treatment conditions was analyzed using immunohistochemistry and flow cytometry. RESULTS: PDOs were successfully established with an 86.2% success rate. These PDOs faithfully recapitulated the histopathological and genomic features of their corresponding tumors, maintaining intratumoral heterogeneity, and were amenable to xenotransplantation. Drug sensitivity assays demonstrated that PDOs accurately predicted patient-specific responses to cisplatin and PARP inhibitors. OH2 exhibited direct cytotoxicity in both cisplatin-sensitive and cisplatin-resistant PDOs, reducing cell viability by 20-60%. Notably, the combination treatment with OH2 and cisplatin enhanced antitumor efficacy, resulting in a significant reduction of the CD44+CSC subpopulation. CONCLUSIONS: Ascites-derived OC PDOs represent a robust platform for individualized drug testing. The combination of OH2 and cisplatin offers a novel and effective strategy for circumventing chemoresistance in OC.

Female

Rewiring Cellular Context as A Central Mechanism Governing Cancer Stem Cell Survival: Insights from ESC Comparisons.

Cancer stem cells (CSCs) drive tumor initiation, metastasis, and therapy resistance, yet their remarkable persistence remains poorly understood. While CSCs share stemness attributes with embryonic stem cells (ESCs), including self-renewal, transcriptional plasticity, and permissive chromatin, they exhibit a fundamentally divergent regulatory logic that prioritizes survival over developmental fidelity. ESCs maintain globally open chromatin that supports transcriptional hyperactivity but predisposes them to apoptosis under genotoxic stress, whereas CSCs maintain dynamically inducible, permissive chromatin at survival loci while repressing differentiation programs, enabling adaptive stress responses. We advance the hypothesis that CSC persistence emerges not from any single factor, but from the integrative rewiring of signaling cascades (Wnt/β-catenin, Notch, Hedgehog, PI3K/AKT/mTOR), stress-responsive transcription factors (HIFs, NF-κB, STAT3), and core pluripotency networks (OCT4, SOX2, NANOG) within a survival-centric context, reinforced by dynamic chromatin remodeling, inducible super-enhancer landscapes, and microenvironmental cues (hypoxia, inflammation, matrix stiffness). Within this framework, the E2F family serves as a key contextual integrator: in ESCs, constitutive E2F activity triggers p53-mediated apoptosis upon DNA damage, preserving genomic integrity; in CSCs, deregulated E2F activity redirects transcription toward DNA repair, antioxidant defenses, and anti-apoptotic programs. This functional divergence underscores that phenotypic outcome is determined by the broader cellular and epigenetic landscape rather than any single factor. We conclude that CSC persistence is an emergent property of this integrated, survival-centric program, fundamentally distinct from the developmental imperative of ESCs. Effective therapeutic strategies must therefore move beyond targeting individual pathways to dismantle the interconnected regulatory networks that define the CSC survival context, offering a more robust approach to overcome therapy resistance and prevent tumor relapse.

Cancer Stem Cells (CSCs)

Engineering CRISPR nanoplatforms to deplete cancer stem cells: Delivery checkpoints, target plasticity, and clinical viability.

Cancer stem cells (CSCs) sustain tumor initiation, therapy resistance, and relapse, yet evade durable control because they switch phenotype, enter quiescence, shelter within protective niches, resist drug efflux, and share markers with normal stem cells. Programmable CRISPR editing can disable intracellular self-renewal dependencies that antibodies and small molecules cannot reach, whereas only nanoscale carriers can confine such editing to intended cells; neither component alone solves the CSC problem. This review reframes CSC-directed CRISPR nanomedicine as an integrated design problem. We examine why target plasticity defeats static single-marker targeting; the sequential delivery checkpoints spanning blood stability, organ selection, tumor penetration, CSC recognition, endosomal escape, and productive editing; and advanced architectures including organ-selective lipid nanoparticles, biomimetic and vesicle carriers, metal-organic frameworks, and logic-gated systems. Genotoxicity, immunogenicity, incomplete depletion, manufacturing reproducibility, and absent CSC-specific clinical evidence remain limiting. Clinical viability, not imminent cure, is the realistic near-term objective.

Neoplastic Stem Cells

Connexin 43 drives glioblastoma cancer stem cell phenotypes through a WNK lysine-deficient protein kinase 1-c-MYC signaling axis.

The coordination of cellular processes such as growth and survival relies on communication between cells through gap junctions. Connexin proteins comprise gap junctions and also function to mediate protein-protein interactions and communication with the extracellular space via hemichannels. Despite their essential roles, connexin function in cancer is context dependent, with connexin 43 (Cx43) reported to both promote and suppress tumor growth in glioblastoma, the most common primary malignant brain tumor. Here, we detect primarily intracellular expression of Cx43 in glioblastoma patient-derived cancer stem cells and demonstrate that Cx43 is essential for their survival, self-renewal, and tumor initiation. Mechanistically, Cx43 depletion reduces c-MYC expression through reduced levels of the upstream mediator WNK lysine-deficient protein kinase 1 (WNK1). WNK1 depletion phenocopies Cx43 knockdown and reduces c-MYC expression and tumor initiation. Together, these results define a signaling axis downstream of Cx43 that promotes tumor growth and cancer stem cell phenotypes in glioblastoma.

Connexin 43

Cancer stemness-modulating (CSM) proteins in pan-cancer chemoresistance: regulatory roles and mechanisms.

Cancer stemness is a property of cancer cells that plays critical roles in tumorigenesis and therapeutic resistance. We previously identified and categorized, based on literature evidence, a group of fourteen cancer stemness-modulating (CSM) circular RNAs (circRNAs) in colorectal cancer (CRC), which we termed CSM-circRNAs. In the present work, we show that the proteins regulated by these CRC CSM-circRNAs, with one exception for which information is currently unavailable, are bona fide modulators of cancer stemness across a wide range of cancer types. We, therefore, designate these proteins as CSM-proteins. As chemoresistance is a major trait of cancer stemness, we further investigated the molecular mechanisms through which CSM-proteins contribute to chemoresistance. Our analysis reveals that twelve CRC CSM-proteins are implicated in chemoresistance across fourteen cancer types and resistance to ten therapeutic agents. Nine distinct chemoresistance mechanisms are identified and organized into five broader functional axes: survival, drug processing, genome maintenance, plasticity and adaptation, leading us to propose an integrated mechanistic framework for CSM-protein-mediated chemoresistance. Most CSM-proteins operate across multiple functional axes in different cancer contexts, with survival-associated mechanisms, particularly apoptosis evasion, and epithelial-mesenchymal transition-associated plasticity emerging as the predominant modes of chemoresistance. Furthermore, transcriptional regulatory CSM-proteins exhibit broader mechanistic profiles than other molecular categories, although the strength and extent of evidence vary across proteins and cancer types. Taken together, the proposed CSM-protein pan-cancer chemoresistance framework offers a biologically and therapeutically relevant regulatory network for understanding the mechanisms underlying cancer chemoresistance based predominantly on preclinical evidence. Our findings may provide a preclinical conceptual foundation for the development of combinatorial therapeutic strategies targeting cancer stemness and chemoresistance through the CSM-circRNA-CSM-protein regulatory axis.

Cancer stemness

Emodin Induces AIF-Associated Apoptosis and Suppresses Wnt/β-Catenin Signaling in Colorectal Cancer Stem-Like Cells.

Colorectal cancer (CRC) remains a major cause of cancer-related mortality due to therapeutic resistance. Because colorectal cancer stem-like cells (CRCSCs) play a central role in tumor initiation and progression, therapeutic strategies addressing CSC-enriched populations are urgently needed. In this study, we investigated the anticancer effects of emodin, a natural anthraquinone, in CSC-enriched tumorsphere models. Emodin significantly suppressed the viability and self-renewal capacity of HCT116- and SW480-derived CSCs. It induced G0/G1 cell cycle arrest and markedly downregulated stemness-associated markers (CD44, CD133, ALDH1A1, SOX2, NANOG, and OCT4). Importantly, emodin-induced cell death was characterized by mitochondrial dysfunction, increased mitochondrial reactive oxygen species, loss of membrane potential, and nuclear translocation of apoptosis-inducing factor (AIF). This cytotoxicity was not rescued by the pan-caspase inhibitor Z-VAD-FMK, confirming caspase-independent apoptosis. Furthermore, network pharmacology and experimental validation identified GSK3β as a key target. Emodin reduced Wnt/β-catenin signaling by decreasing β-catenin stabilization and nuclear accumulation. Crucially, a rescue experiment utilizing LiCl confirmed that emodin's suppressive effects are mechanistically dependent on the GSK3β/Wnt/β-catenin axis. Collectively, emodin suppresses CRCSC characteristics in vitro by downregulating Wnt/β-catenin signaling and inducing AIF-associated caspase-independent apoptosis, highlighting its therapeutic potential against CRC.

Apoptosis-inducing factor (AIF)

SNORA47 affects stemness and chemotherapy sensitivity via EBF3/RPL11/c-Myc axis in luminal A breast cancer.

Chemotherapy sensitivity is an important factor that restricts the prognosis of breast cancer, and breast cancer stem cells (BCSCs) are the root cause of chemotherapy sensitivity. SNORA47, a member of the small nucleolar RNAs, has not been documented in the context of breast cancer, although it has been reported in lung cancer. In this study, high SNORA47 expression was linked to unfavorable survival outcomes among patients with Luminal A breast cancer in The Cancer Genome Atlas (TCGA). Among Luminal A patients, an elevated expression of SNORA47 correlated with high TNM stage (P = 0.049). SNORA47 was strongly associated with breast cancer stemness phenotype and tumor sensitivity in vivo and in vitro. Our findings demonstrated that SNORA47, through its interaction with early B-cell factor 3(EBF3), facilitated the translocation of ribosomal protein L11(RPL11), which as a modulator that subsequently regulates the expression levels of the oncogene c-Myc. These discoveries provided novel insights into the molecular mechanisms of breast cancer progression and suggested potential therapeutic targets for overcoming drug sensitivity by disrupting the SNORA47-EBF3-RPL11 axis.

Humans

Third-generation whole-genome sequencing reveals the role of CNTNAP2 as a tumor suppressor gene in high-risk neuroblastomas.

BACKGROUND: Neuroblastoma is a common and aggressive pediatric sympathetic nervous system tumor. Genomic structural variants (SVs) contribute substantially to neuroblastoma, yet remain under-characterized in high-risk neuroblastomas. We aimed to elucidate neuroblastoma pathogenesis using third-generation whole-genome sequence high-risk cases to identify driver aberrations and explore potential therapeutic strategies. METHODS: We analyzed third-generation whole-genome sequencing data of 20 high-risk neuroblastoma samples and combined the findings with those obtained from the analysis of clinical samples, in vitro models, and public datasets. RESULTS: The contactin-associated protein-like 2 (CNTNAP2) gene was observed to be frequently aberrated because of structural variants in high-risk neuroblastoma samples. CNTNAP2 expression was significantly correlated with favorable histology and could be used to predict prognosis using clinical samples and neuroblastoma datasets. Overexpression and knockdown experiments and transcriptomic analysis revealed that CNTNAP2 was primarily involved in neuronal differentiation and axon guidance pathways; moreover, CNTNAP2 was required for neuroblastoma differentiation and affected cancer stemness. Immunoprecipitation and mass spectrometry revealed that CNTNAP2 interacted with cytoskeletal proteins like drebrin 1 (DBN1) and myosin-heavy chain 9 (MYH9). CNTNAP2 dynamically reorganises actin and microtubules for DBN1-mediated neuronal differentiation. CNTNAP2 also reduces CTNNB1 transcription and β-catenin pathway activation by inhibiting MYH9 nuclear translocation. CNTNAP2 overexpression in neuroblastoma cell lines resulted in cell cycle arrest, decreased cell proliferation and metastasis. CONCLUSIONS: The recurrent loss of CNTNAP2 in neuroblastoma contributes to an aggressive phenotype by impairing neuronal differentiation and increasing cancer stemness. These findings may serve as a foundation for developing therapeutic strategies to overcome barriers to differentiation.

Humans

Notch pathway defines an aggressive and immune-suppressive phenotype associated with checkpoint inhibitor resistance in pan-gastrointestinal adenocarcinomas.

The Notch pathway regulates the homeostasis and tumorigenesis of gastrointestinal epithelium. Given its roles in cancer stem cell capacity and cancer immunity, we hypothesized that Notch activation can predict poor prognosis and resistance to immune checkpoint inhibitors (ICIs) in gastrointestinal adenocarcinoma (GIAC). The mRNA expression and genomic alterations of Notch pathway were characterized in esophagus (ESAD), stomach (STAD), colon (COAD), or rectum (READ) adenocarcinomas from The Cancer Genome Atlas (TCGA) dataset. The prognostic model (mRNA-score) was constructed using the TCGA dataset (the training set) and was validated in 3 independent sets (GSE19417 [ESAD], GSE84437 [STAD], and GSE40967 [COAD]). The associations of the mRNA-score with drug sensitivity, immune cell infiltration, and immunotherapy efficacy were, respectively, analyzed using the Genomics of Drug Sensitivity in Cancer (GDSC) database, the TCGA dataset, and multiple clinical cohorts including GSE165252, PRJEB25780, IMvigor210, and CheckMate-009/010/025. Notch pathway genes exhibited conserved genomic/transcriptomic features across four GIAC subtypes. Three pan-GIAC clusters were determined by unsupervised clustering, and the cluster with higher expression of the Notch pathway genes had shorter overall survival (OS), immunosuppressive microenvironment, and higher scores of the signatures concerning angiogenesis, cell cycle, PI3K-AKT-mTOR, TGF-&#x3b2;, glycolysis, etc. A prognostic algorithm (mRNA-score) was constructed, which was correlated with poor OS in the training set (TCGA, P&#x2009;<&#x2009;0.001) and three validation sets (GSE19417, P&#x2009;=&#x2009;0.025; GSE84437, P&#x2009;=&#x2009;0.001, GSE40967, P&#x2009;=&#x2009;0.007). A high mRNA-score was linked with more "resting"/ "anti-inflammatory" rather than "activated"/ "pro-inflammatory" tumor-infiltrating immune cells and ICI resistance in GIACs (GSE165252, P&#x2009;=&#x2009;0.047; PRJEB25780, P&#x2009;=&#x2009;0.047) and other solid tumors such as urothelial carcinoma and clear cell renal cell carcinoma. Our findings demonstrate the utility of the Notch pathway in predicting prognosis and ICI resistance. Further studies are warranted to explore the efficacy of Notch inhibitors as immunotherapeutic adjuvants to overcome ICI resistance.

Humans

Stemness related lncRNAs signature for the prognosis and tumor immune microenvironment of ccRCC patients.

Long non-coding RNAs (lncRNAs) and cancer stem cells (CSCs) are crucial for the growth, migration, recurrence, and medication resistance of tumors. However, the impact of lncRNAs related to stemness on the outcome and tumor immune microenvironment (TIME) in clear cell renal cell carcinoma (ccRCC) is still unclear. In this study, we aimed to predict the outcome and TIME of ccRCC by constructing a stem related lncRNAs (SRlncRNAs) signature. We firstly downloaded ccRCC patients' clinical data and RNA sequencing data from UCSC and TCGA databases, and abtained the differentially expressed lncRNAs highly correlated with stem index in ccRCC through gene expression differential analysis and Pearson correlation analysis. Then, we selected suitable SRlncRNAs for constructing a prognostic signature of ccRCC patients by LASSO Cox regression. Further, we used nomogram and Kaplan Meier curves to evaluate the SRlncRNA signature for the prognose in ccRCC. At last, we used ssGSEA and GSVA to evaluate the correlation between the SRlncRNAs signature and TIME in ccRCC. Finally, We obtained a signtaure based on six SRlncRNAs, which are correlated with TIME and can effectively predict the ccRCC patients' prognosis. The SRlncRNAs signature may be a noval prognostic indicator in ccRCC.

Humans

Overcoming cancer resistance in pancreatic cancer: toward dynamic precision oncology.

Pancreatic ductal adenocarcinoma (PDAC) remains a highly lethal malignancy, largely because of its profound and evolving therapeutic resistance. Resistance is not determined by a single molecular alteration but arises from interconnected mechanisms, including intrinsic resistance, treatment-induced adaptive resistance, acquired resistance, genomic evolution, clonal selection, cancer stemness, phenotypic plasticity, metabolic adaptation, and tumor microenvironment-mediated effects. Emerging therapeutic approaches targeting KRAS/RAS signaling, stromal and immune components, metabolic dependencies, and DNA damage repair pathways offer opportunities to address these mechanisms, although durable efficacy remains limited by biological heterogeneity and adaptive responses. In this review, we examine therapeutic resistance as an evolutionary and multidimensional process and summarize emerging strategies for overcoming resistance. We further propose a Dynamic Precision Oncology (DPO) framework that extends conventional precision oncology beyond baseline molecular profiling by integrating longitudinal assessment of tumor genomics, circulating tumor DNA, CA19-9, imaging, radiomics, and clinical characteristics. This framework emphasizes iterative detection and characterization of emerging resistance, mechanism-informed treatment adaptation, and subsequent reassessment rather than automatic treatment modification based on a single biomarker. DPO may provide a conceptual framework for integrating evolving tumor biology into treatment decision-making, while prospective studies are needed to validate biomarkers, define actionable thresholds, and determine whether longitudinal resistance-guided strategies improve clinical outcomes in PDAC.

Humans

NOTCH1 acts as a tumor suppressor that induces early differentiation in head and neck cancer.

Inactivating NOTCH1 mutations in head and neck squamous cell carcinoma (HNSCC) were described over a decade ago, suggesting a tumor suppressor function - unlike its oncogenic role in other tumors. Today, much debate persists regarding a putative oncogenic role in HNSCC as well, with reports that NOTCH1 signaling drives tumor growth and a cancer stem cell (CSC) phenotype. In this work, comprehensive experiments unequivocally demonstrate that NOTCH1 is a tumor suppressor in HNSCC regardless of mutation or activation status and that it reduces CSC frequency. We developed a signature of NOTCH1 activation showing the pathway is associated with very early differentiation, an altered tumor microenvironment, and better prognosis. Clarifying whether NOTCH1 occasionally functions as an oncogenic driver in HNSCC is crucial to prognosis and personalized therapy. The results presented unify the field, reconcile conflicting data, and provide critical insights into the biological and clinical significance of NOTCH1, with broader implications in other squamous carcinomas with NOTCH1 mutations.

Receptor, Notch1

Decoding glioblastoma evolution and heterogeneity through mechanistic modeling: implications for clinical translation.

Glioblastoma (GBM) is one of the most aggressive and lethal primary brain tumors in adults, characterized by dynamic clonal evolution and extensive genomic, cellular, spatial, and microenvironmental heterogeneity. Multi-omics studies have revealed that GBM follows complex evolutionary trajectories involving genetic, epigenetic, transcriptional, and immune-microenvironmental remodeling as tumors grow, adapt to the brain microenvironment, and acquire therapeutic resistance. Increasing evidence suggests that GBM may originate from aberrant neural stem or progenitor cells, including those residing in the subventricular zone, and that glioblastoma stem cells (GSCs) contribute to tumor propagation, heterogeneity, and recurrence. A key conceptual challenge is to reconcile hierarchical cancer stem cell models, in which GSCs are viewed as relatively stable tumor-propagating subpopulations, with dynamic state plasticity models, in which stem-like properties can be reversibly acquired or lost during transitions among proneural-like, mesenchymal-like, invasive, and therapy-tolerant states. Recent advances in single-cell profiling, spatial transcriptomics, lineage tracing, organoid culture, 3D bioprinting, genetically engineered models, and artificial intelligence (AI)-assisted computational modeling have substantially improved the ability to study these processes. However, no currently available model fully recapitulates human GBM heterogeneity, recurrence, treatment history, and tumor-microenvironment interactions. Therefore, model selection should be guided by clearly defined mechanistic questions rather than by reliance on any single platform. This review summarizes current advances in in vitro, ex vivo, in vivo, and computational models for studying GBM evolution and heterogeneity, and discusses how integrated model pipelines may improve preclinical drug testing, treatment-response prediction, and precision neuro-oncology.

Humans

High p62 and ALDH1A3 Reduce the Effectiveness of Endocrine Therapy in Luminal B Breast Cancer.

BACKGROUND/AIM: High expression of p62 and ALDH1A3 indicates a poor clinical outcome in luminal B breast cancer, and p62 is involved in the progression of ALDH1-positive luminal B breast cancer stem cells. However, the association between endocrine therapy and high p62 and ALDH1A3 expression, in luminal B breast cancer remains unclear. MATERIALS AND METHODS: Two datasets with gene expression and clinical data for patients with primary breast cancer (METABRIC, n=2,509; The Cancer Genome Atlas, n=1,084) were downloaded and statistically analyzed. To evaluate the association between the p62 and ALDH1A3 expression levels and endocrine therapy, including tamoxifen and aromatase inhibitor, in patients with luminal B breast cancer, disease-specific survival was examined using Kaplan-Meier and multivariate Cox regression analyses. RESULTS: Patients with p62 high ALDH1A3 high luminal B breast cancer treated with endocrine therapy exhibited a poor prognosis. Moreover, patients with p62 high ALDH1A3 high luminal B breast cancer treated with tamoxifen showed a trend towards a poor prognosis, but those treated with aromatase inhibitors showed a significantly poor prognosis. These results suggest that endocrine therapy, especially aromatase inhibitors, exhibits a reduced effectiveness against p62 high ALDH1A3 high luminal B tumors. CONCLUSION: p62 and ALDH1A3 could be used together as a prognostic biomarker for predicting the efficacy of endocrine therapy for luminal B breast cancer.

ALDH1A3

Chaperone-mediated autophagy as a regulator of hallmarks of cancer.

Chaperone-mediated autophagy (CMA) is a selective lysosomal degradation pathway that maintains cellular homeostasis by degrading soluble proteins containing KFERQ-like motifs. Although CMA has traditionally been recognized for its role in protein quality control and cellular stress adaptation, increasing evidence shows that it is frequently altered in cancer, where it regulates multiple processes that promote tumor initiation, progression, and therapy resistance. The growing number of identified CMA substrates involved in cell proliferation, apoptosis, metabolism, DNA damage response, immune regulation, inflammation, and cellular plasticity suggests that CMA is much more than a protein degradation pathway; it is an important regulator of tumor adaptation. In this review, we bring together current evidence to provide a comprehensive understanding of how CMA contributes to the Hallmarks of Cancer, including sustained proliferative signaling, resistance to cell death, metabolic reprogramming, invasion and metastasis, immune evasion, and the enabling characteristics of genome instability and tumor-promoting inflammation. We further explore the emerging roles of CMA in cellular plasticity and cancer stem cell maintenance, two interconnected processes that drive tumor progression, metastasis, and therapeutic resistance. By integrating evidence from diverse tumor types, this review provides a comprehensive understanding of how CMA shapes multiple hallmarks of cancer by selectively degrading key regulatory proteins. Finally, we highlight the context-dependent roles of CMA, identify key gaps in our current understanding, and discuss the opportunities and challenges of targeting CMA for cancer therapy. Overall, this hallmark-based perspective provides an integrated understanding of how CMA contributes to multiple hallmarks of cancer and supports its potential as a therapeutic target.

autophagy

Interplay between DNA and RNA methylation shapes cancer cell plasticity.

Cellular plasticity refers to the ability of healthy cells to shift between phenotypic states and modify their characteristics to maintain tissue homeostasis and integrity. In the tumor context, cancer stem cells (CSCs) exploit this flexibility to withstand stress, facilitate tumor dissemination, and evade therapeutic interventions. Epigenetic regulation, particularly DNA methylation at CpG sites, is recognized as a well-known driver of tumor plasticity by repressing differentiation programs through modulation of chromatin accessibility. More recently, RNA modifications (epitranscriptomics) have emerged as crucial post-transcriptional regulators of gene expression that shape RNA fate and function. Among these, N6-methyladenosine (m6A), 5-methylcytosine (m5C), N1-methyladenosine (m1A), and N7-methylguanosine (m7G) contribute to the regulation of cell identity by modulating stemness-differentiation balance, stress adaptation, and epithelial-to-mesenchymal transition (EMT). Notably, dysregulation of both DNA and RNA methylation signatures is frequently observed in tumors, suggesting potential functional interactions between these regulatory layers. Emerging evidence indicates that DNA CpG methylation and RNA methylation pathways may cooperate to influence stemness, survival, and EMT-associated signaling, thereby supporting CSCs' plasticity. Although the molecular mechanisms underlying this crosstalk remain incompletely understood, accumulating studies suggest that DNA and RNA methylation could converge within interconnected regulatory networks that contribute to the control of cancer cell identity. A deeper understanding of these interactions may uncover novel vulnerabilities for targeting tumor plasticity. In this review, we summarize the current knowledge on the interplay between DNA and RNA methylation in regulating tumor plasticity, highlighting emerging mechanistic insights, functional interactions, and potential implications for future epigenetic and epitranscriptomic therapeutic strategies.

Humans

PKC&#x3b6;, CTNNBIP1 and ALDH1A3 Expression in Luminal B Breast Cancer Indicates Decreased Hormone Therapy Effectiveness.

BACKGROUND/AIM: The role of catenin &#x3b2; interacting protein 1 (CTNNBIP1), a negative regulator of the canonical Wnt/&#x3b2;-catenin signaling pathway, in luminal A and B breast cancer stem cells treated with hormone therapy is unknown. This study investigated the relationship between CTNNBIP1 and aldehyde dehydrogenase 1 family member A3 (ALDH1A3) expression and its impact on disease-specific survival in luminal A and B breast cancer. Given that high protein kinase &#x3b6; (PKC&#x3b6;) expression, together with elevated CTNNBIP1 or ALDH1A3, is linked to poor prognosis in luminal B tumors, we also examined their combined influence. MATERIALS AND METHODS: Gene expression and clinical data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC; n=2,509) were analyzed using Kaplan-Meier and Cox proportional hazards models. Findings were validated with The Cancer Genome Atlas Pan-Cancer Atlas (TCGA; n=1,084). RESULTS: CTNNBIP1 high ALDH1A3 high indicated a poor prognosis in patients with luminal B breast cancer treated with hormone therapy in the METABRIC dataset and aromatase inhibitors as hormone therapy in the TCGA data set, suggesting that high CTNNBIP1 and ALDH1A3 expression contributed to decreased effectiveness of hormone therapy in patients with luminal B breast cancer. PKC &#x3b6; high CTNNBIP1 high ALDH1A3 high was associated with a poor prognosis in patients with luminal B breast cancer treated with hormone therapy and aromatase inhibitors, suggesting that high PKC &#x3b6; , CTNNBIP1 and ALDH1A3 expression contributed to decreased effectiveness of hormone therapy in patients with luminal B breast cancer. CONCLUSION: PKC &#x3b6; and CTNNBIP1 may be involved in the progression of ALDH1A3-positive luminal B breast cancer. In luminal B breast cancer, PKC &#x3b6; , CTNNBIP1 and ALDH1A3 could serve as molecular drug targets and prognostic biomarkers to predict the effectiveness of hormone therapy.

ALDH1A3