Potential Cancer Therapeutics Research Articles

Exploring the Intracellular Distribution of Se Compounds Delivered by Biodegradable Polyelectrolyte Capsules Using X‐Ray Fluorescence Imaging

AbstractSelenium (Se) compounds hold promise as potential therapeutics for cancer due to their diverse biological functions and redox‐regulating properties. In this study, the encapsulation of a hydrophobic selenium compound inside 5 µm sized biodegradable polyelectrolyte capsules consisting of poly‐L‐arginine and dextran is investigated. While the encapsulated form of the compound showed comparable cellular uptake and cytotoxicity as the free drug, e.g. no improved anti‐cancer efficacy is achieved, the investigation yielded crucial insights. Utilizing subcellular resolution synchrotron X‐ray fluorescence imaging (XFI), the intracellular location of the Se compound is successfully visualized by demonstrating the degradation of the capsules and the following redistribution of the compound, without exogenous labeling. By applying a quantitative fitting approach, the intracellular Se mass is determined to be 0.09 ± 0.01 pg after degradation of the carrier. This highlights the potential of XFI as a powerful tool for tracking intracellular dynamics of metal‐based drugs, which may facilitate drug development in the clinic.

HERC5: a comprehensive in silico analysis of its diagnostic, prognostic, and therapeutic potential in cancer.

HERC5, a vital protein in the HERC family, plays crucial roles in immune response, cancer progression, and antiviral defense. This bioinformatic study comprehensively assessed HERC5's significance across various malignancies by analyzing its gene expression, immune and molecular subtype expressions, target proteins, biological functions, and prognostic and diagnostic values in pan-cancer. We further examined its correlation with clinical features, co-expressed and differentially expressed genes, and prognosis in clinical subgroups, focusing on endometrial cancer (UCEC). Our findings showed that HERC5 RNA is expressed at low levels in most cancers and significantly differs across immune and molecular subtypes. HERC5 accurately predicts cancer and correlates with most cancer prognoses. In UCEC, HERC5 was significantly associated with age, hormonal status, clinical stage, treatment status, and metastasis. Elevated HERC5 expression was linked to worse progression-free interval, disease-specific survival, and overall survival in UCEC, particularly in diverse clinical subgroups. Significant differences in HERC5 expression were also observed in various human cancer cell line validations. In summary, HERC5 may be a critical biomarker for pan-cancer prognosis, progression, and diagnosis, as well as a promising new target for cancer therapy.

Targeting fibroblast activation protein with chimeric antigen receptor macrophages

Under the rapid advancement of chimeric antigen receptor T cell (CAR-T) technology, CAR-macrophages (CAR-Ms) are also being developed currently in the pre-clinical stage and have been shown to inhibit tumor growth in several mouse tumor models. Fibroblast activation protein (FAP) is a type II transmembrane serine protease, which is expressed in stromal fibroblasts of over 90 % of common human epithelial cancers and is upregulated in fibrotic diseases of the liver, lung and colon, etc. In this study, we firstly constructed FAP-CAR macrophages to target FAP+ cells through in vitro phagocytosis assays. In subsequent in vivo assays, we discovered that FAP-CAR-ΔZETA bone marrow-derived macrophages (BMDMs) rather than FAP-CAR BMDMs, exhibited a pronounced anti-tumor effect in mouse subcutaneous MC38 colon cancer model. In addition, FAP-CAR and FAP-CAR-ΔZETA BMDMs therapy could effectively improve CCl4-induced liver fibrosis in mice. Collectively CAR-Ms targeting FAP demonstrated great therapeutic potential in cancer and liver fibrosis therapy.

Design, Synthesis, and In-Silico Analysis of Thiazole-Embedded Schiff Base Derivatives for Breast Cancer Therapeutic Potential

Thiazole-derived Schiff base compounds possess significant pharmacological properties, influencing various enzymes in metabolic pathways and exhibiting antibacterial, antifungal, anti-inflammatory, antioxidant, and antiproliferative activities. This study delves into the synthesis, characterization, and in-silico analysis of ten thiazole-embedded Schiff base derivatives (TZ1-10), benchmarking them against five Food and Drug Administration (FDA)-approved breast cancer drugs. Molecular docking against multiple therapeutic targets related to fatty acid synthase and cell proliferation (PDB IDs: 4FX3, 4OAR, 3NUP, and 3ERT) alongside ADME and Lipinski rule assessments were conducted. Compounds TZ6 and TZ8 emerged as promising candidates with docking scores of -8.0 kcal/mol and -8.2 kcal/mol respectively against the 4FX3 protein. These findings contribute to a deeper understanding of thiazole-embedded Schiff base derivatives, showcasing their potential for future medicinal and scientific applications.

Mechanism Exploration of Astaxanthin in the Treatment of Adriamycin-induced Cardiotoxicity Based on Network Pharmacology and Experimental Validation.

Astaxanthin (AXT), a natural antioxidant recognized for its therapeutic potential in cancer and cardiovascular diseases, holds promise in mitigating adriamycin-induced cardiotoxicity (AIC). Nevertheless, the underlying mechanisms of AXT in AIC mitigation remain to be elucidated. Consequently, this study endeavors to elucidate the mechanism of AXT against AIC, employing an integrated approach. Network pharmacology, molecular docking, and molecular dynamics simulations were harnessed to explore the molecular mechanism underlying AXT's action against AIC. Furthermore, the in-vitro AIC model was established with the H9c2 cell to generate transcriptome data for validation. A total of 533 putative AXT targets and 1478 AIC-related genes were initially screened by database retrieval and bioinformatics analysis. A total of 248 potential targets of AXT against AIC and several signaling pathways were identified by network pharmacology and enrichment analysis. Two core genes (CCL2 and NOS3) and the AGE-RAGE signaling pathway in diabetic complications were further highlighted by transcriptome validation based on the AIC in-vitro model. Additionally, molecular docking and dynamics analyses supported the robust binding affinity of AXT with the core targets. The study suggested that AXT might ameliorate AIC through the inhibition of CCL2 and NOS3 as well as AGE-RAGE signaling, which provide a theoretical basis for the development of a strategy against AIC.

Susceptibility of HPV-18 Cancer Cells to HIV Protease Inhibitors.

Cervical cancer cases continue to rise despite all the advanced screening and preventative measures put in place, which include human papillomavirus (HPV) vaccination. These soaring numbers can be attributed to the lack of effective anticancer drugs against cervical cancer; thus, repurposing the human immunodeficiency virus protease inhibitors is an attractive innovation. Therefore, this work was aimed at evaluating the potential anticancer activities of HIV-PIs against cervical cancer cells. The MTT viability assay was used to evaluate the effect of HIV protease inhibitors on the viability of cervical cancer cells (HeLa) and non-cancerous cells (HEK-293). Further confirmation of the MTT assay was performed by confirming the IC50s of these HIV protease inhibitors on cervical cancer cells and non-cancerous cells using the Muse™ Count and Viability assay. To confirm the mode of death induced by HIV protease inhibitors in the HPV-associated cervical cancer cell line, apoptosis was performed using Annexin V assay. In addition, the Muse™ Cell Cycle assay was used to check whether the HIV protease inhibitors promote or halt cell cycle progression in cervical cancer cells. HIV protease inhibitors did not affect the viability of non-cancerous cells (HEK-293), but they decreased the viability of HeLa cervical cancer cells in a dose-dependent manner. HIV protease inhibitors induced apoptosis in HPV-related cervical cancer cells. Furthermore, they also induced cell cycle arrest, thus halting cell cycle progression. Therefore, the use of HIV drugs, particularly HIV-1 protease inhibitors, as potential cancer therapeutics represents a promising strategy. This is supported by our study demonstrating their anticancer properties, notably in HPV-associated cervical cancer cell line.

Development and Evaluation of Indole-Based Phospholipase D Inhibitors for Lung Cancer Immunotherapy.

This study explored novel immunomodulatory approaches for cancer treatment, with a specific focus on lung cancer, the leading cause of cancer-related deaths worldwide. We synthesized indole-based phospholipase D (PLD) inhibitors with various substituents to improve anticancer efficacy. Through structure-activity relationship studies, the key compound was identified that significantly inhibiting PLD, suppressing cell growth, viability, and migration in vitro, while inducing apoptosis of lung cancer cells. In silico docking studies confirmed its binding to the PLD1 active site, highlighting the role of specific residues in inhibiting PLD1 activity. The inhibitor modulated oncogenic pathways and immune evasion in lung cancer cells, showing potential for immunotherapy. In vivo experiments in a mouse model showed tumor reduction and immune response alteration. Combining these inhibitors with gemcitabine, an anticancer drug, synergistically enhanced inhibition of lung cancer cell apoptosis and proliferation. This research offers new insights into PLD inhibitor as potential cancer therapeutics.

Integration of 3D-QSAR, molecular docking, and machine learning techniques for rational design of nicotinamide-based SIRT2 inhibitors

Selective inhibitors of sirtuin-2 (SIRT2) are increasingly recognized as potential therapeutics for cancer and neurodegenerative diseases. Derivatives of 5-((3-amidobenzyl)oxy)nicotinamides have been identified as some of the most potent and selective SIRT2 inhibitors reported to date (​Ai et al., 2016​; ​Ai et al., 2023​, ​Baroni et al., 2007​). In this study, a 3D-QSAR (3D-Quantitative Structure-Activity Relationship) model was developed using a dataset of 86 nicotinamide-based SIRT2 inhibitors from the literature, along with GRIND-derived pharmacophore models for selected inhibitors. External validation parameters emphasized the reliability of the 3D-QSAR model in predicting SIRT2 inhibition within the defined applicability domain. The interpretation of the 3D-QSAR model facilitated the generation of GRIND-derived pharmacophore models, which in turn enabled the design of novel SIRT2 inhibitors. Furthermore, based on molecular docking results for the SIRT1–3 isoforms, two classification models were developed: a SIRT1/2 model using the Naive Bayes algorithm and a SIRT2/3 model using the k-nearest neighbors algorithm, to predict the selectivity of inhibitors for SIRT1/2 and SIRT2/3. External validation parameters of the selectivity models confirmed their predictive power. Ultimately, the integration of 3D-QSAR, selectivity models and prediction of ADMET properties facilitated the identification of the most promising selective SIRT2 inhibitors for further development.

Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach.

Gastric cancer predominantly adenocarcinoma, accounts for over 85% of gastric cancer diagnoses. Current therapeutic options are limited, necessitating the discovery of novel drug targets and effective treatments. The Affymetrix gene expression microarray dataset (GSE64951) was retrieved from NCBI-GEO data normalization and DEGs identification was done by using R-Bioconductor package. Gene Ontology (GO) analysis of DEGs was performed using DAVID. The protein-protein interaction network was constructed by STRING database plugin in Cytoscape. Subclusters/modules of important interacting genes in main network were extracted by using MCODE. The hub genes from in the network were identified by using Cytohubba. The miRNet tool built a hub gene/mRNA-miRNA network and Kaplan-Meier-Plotter conducted survival analysis. AutoDock Vina and GROMACS MD simulations were used for docking and stability analysis of marine compounds against the 5CNN protein. Total 734 DEGs (507 up-regulated and 228 down-regulated) were identified. Differentially expressed genes (DEGs) were enriched in processes like cell-cell adhesion and ATP binding. Eight hub genes (EGFR, HSPA90AA1, MAPK1, HSPA4, PPP2CA, CDKN2A, CDC20, and ATM) were selected for further analysis. A total of 23 miRNAs associated with hub genes were identified, with 12 of them targeting PPP2CA. EGFR displayed the highest expression and hazard rate in survival analyses. The kinase domain of EGFR (PDBID: 5CNN) was chosen as the drug target. Adociaquinone A from Petrosia alfiani, docked with 5CNN, showed the lowest binding energy with stable interactions across a 50 ns MD simulation, highlighting its potential as a lead molecule against EGFR. This study has identified crucial DEGs and hub genes in gastric cancer, proposing novel therapeutic targets. Specifically, Adociaquinone A demonstrates promising potential as a bioactive drug against EGFR in gastric cancer, warranting further investigation. The predicted miRNA against the hub gene/proteins can also be used as potential therapeutic targets.

Molecular Targets of Minor Cannabinoids in Breast Cancer: In Silico and In Vitro Studies.

Breast cancer therapy has been facing remarkable changes. Classic treatments are now combined with other therapies to improve efficacy and surpass resistance. Indeed, the emergence of resistance demands the development of novel therapeutic approaches. Due to key estrogen signaling, estrogen receptor-positive (ER+) breast cancer treatment has always been focused on aromatase inhibition and ER modulation. Lately, the effects of phytocannabinoids, mainly Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD), have been evaluated in different cancers, including breast. However, Cannabis sativa contains more than 120 phytocannabinoids less researched and understood. Here, we evaluated, both in silico and in vitro, the ability of 129 phytocannabinoids to modulate important molecular targets in ER+ breast cancer: aromatase, ER, and androgen receptor (AR). In silico results suggested that some cannabinoids may inhibit aromatase and act as ERα antagonists. Nine selected cannabinoids showed, in vitro, potential to act either as ER antagonists with inverse agonist properties, or as ER agonists. Moreover, these cannabinoids were considered as weak aromatase inhibitors and AR antagonists with inverse agonist action. Overall, we present, for the first time, a comprehensive analysis of the actions of the phytocannabinoids in targets of ER+ breast tumors, pointing out their therapeutic potential in cancer and in other diseases.

Targeting TRIM26: Unveiling an Oncogene and Identification of Plant Metabolites as a Potential Therapeutics for Breast Cancer.

Breast cancer is the major cause of cancer-related mortality and frequent malignancies among women worldwide. The TRIM (Tripartite Motif) protein family is a broad and diverse set of proteins that contain a conserved structural motif known as the tripartite motif, which comprises of three different domains, B-box domain, Coiled-coil domain and RBR (Ring-finger, B-box, and coiled-coil) domain. TRIM proteins are involved in regulating cancer growth and metastasis. However, TRIM proteins are still unexplored in cancer cell regulation. In this study, by using a cancer database expression of all TRIM proteins was determined in breast cancer. Out of 77 TRIM genes, 16 genes were upregulated in breast cancer. Here, the upregulated TRIM26 gene's role is not yet explored in breast cancer. Indeed, TRIM26 is upregulated in 21 cancer types out of 33 cancer types. To investigate the role of TRIM26 in breast cancer, siRNA-mediated gene silencing was carried out in MCF-7 and MDA-MB 231 breast cancer cells. Reduced expression of TRIM 26 decreased cancer cell proliferation, migration and invasion with simultaneous reduction of various proliferative, cell cycle and mesenchymal markers and upregulation of epithelial markers. Further, docking studies found potential novel plant metabolites. Thus, targeting TRIM26 may provide a novel therapeutic approach for breast cancer treatment.

Anticancer Potential of Pineapple and its Bioactive Compound Bromelain.

Various ailments have been treated with pineapple [Ananas comosus (L.) Merr.] throughout medicinal history. Pineapple and its bioactive compound bromelain possess health-promoting benefits. Detailed information on the chemotherapeutic activities of pineapple and its bioactive compound bromelain is provided in this review, which analyses the current literature regarding their therapeutic potential in cancer. Research on disease models in cell cultures is the focus of much of the existing research. Several studies have demonstrated the benefits of pineapple extract and bromelain for in vitro and in vivo cancer models. Preliminary animal model results show promise, but they must be translated into the clinical setting. Research on these compounds represents a promising future direction and may be well-tolerated.

Heterocyclic Compounds as CDK9 Inhibitors: Structural Diversity, Mechanism of Action, and Therapeutic Potential in Cancer and Beyond.

Cyclin-dependent kinases (CDKs) are crucial proteins involved in key cellular processes, such as cell division and transcription. Their dysregulation plays a significant role in cancer development. Inhibiting cyclin-dependent kinase 9 (CDK9) impacts several survival pathways in cancer cells, presenting a promising therapeutic approach for various cancers. CDK9, in association with cyclin T1, forms the positive transcription elongation factor b (P-TEFb) complex, which phosphorylates the C-terminal domain (CTD) of RNA polymerase II (Pol II). This phosphorylation promotes the transition from transcription initiation to elongation. This review examines recent advancements in CDK9 modulators, with a particular emphasis on compounds currently in clinical trials.

Exploring Novel Coumarin-Tethered Bis-Triazoles: Apoptosis Induction in Human Pancreatic Cancer Cells, Antimicrobial Effects, and Molecular modelling Investigations.

In the present study, we identified that two representative compounds (7c and 9f) of our newly synthesized coumarin-tagged bis-triazoles induced apoptosis in human pancreatic cells (PANC-1) by caspase 3/7mediated pathway. Both 7c and 9f (IC50 = 7.15 ± 1.19 and 6.09 ± 0.79 µM, respectively) were found to be ~100 times superior against PANC-1 as compared to the standard drug Gemcitabine (IC50 = >500 µM), without showing any toxicity to the normal pancreatic epithelial cells (H6C7). Molecular docking studies further endorsed them as potential pancreatic cancer therapeutics due to their strong hydrogen bonding interactions with the epidermal growth factor receptor (EGFR) enzyme, which is overexpressed in cancerous cells including pancreatic cancer. Additionally, these compounds also showed moderate inhibitory activity against a panel of microbial strains. Overall, our findings reveal that the coumarin hybrids 7c and 9f are viable chemotypes to be adopted as templates for the development of new anticancer drugs, particularly against pancreatic cancer.

Computational Design of Pore-Forming Peptides with Potent Antimicrobial and Anticancer Activities.

Peptides that form transmembrane barrel-stave pores are potential alternative therapeutics for bacterial infections and cancer. However, their optimization for clinical translation is hampered by a lack of sequence-function understanding. Recently, we have de novo designed the first synthetic barrel-stave pore-forming antimicrobial peptide with an identified function of all residues. Here, we systematically mutate the peptide to improve pore-forming ability in anticipation of enhanced activity. Using computer simulations, supported by liposome leakage and atomic force microscopy experiments, we find that pore-forming ability, while critical, is not the limiting factor for improving activity in the submicromolar range. Affinity for bacterial and cancer cell membranes needs to be optimized simultaneously. Optimized peptides more effectively killed antibiotic-resistant ESKAPEE bacteria at submicromolar concentrations, showing low cytotoxicity to human cells and skin model. Peptides showed systemic anti-infective activity in a preclinical mouse model of Acinetobacter baumannii infection. We also demonstrate peptide optimization for pH-dependent antimicrobial and anticancer activity.

Exploring novel Apalutamide analogues as potential therapeutics for prostate cancer: design, molecular docking investigations and molecular dynamics simulation.

Introduction: Prostate cancer (PC) ranks as the second most frequent type of cancer in men and is the fourth largest cause of mortality worldwide. Androgenic hormones such as testosterone and dihydrotestosterone are crucial for the development and progression of the prostate gland. Androgenic hormones bind to androgen receptors (AR) and trigger the synthesis of many genes that stimulate the growth of prostate cells, initiating PC growth. Apalutamide (APL) is a non-steroidal antiandrogen drug used to treat PC; however, it also causes a variety of toxicities and resistance during the treatment. Methods: The purpose of this study was to computationally identify new and safer analogues of APL, focusing on improved pharmacokinetic properties and reduced toxicity. Drug likeness (DL) and drug score (DS) were also calculated. Docking studies on the designed analogues were conducted to predict their binding affinities and compare their orientations with the ligands in the original crystal structure. Molecular dynamics (MD) simulation of docked ligands was done using Schrödinger suite. Results: We generated a total of 1,415 analogues for different groups of APL using the bioisosteric approach. We selected 80 bioisosteres based on pharmacokinetic profiles, DL and DS score predictions, and found that the designed APL bioisosteres were optimal to good compared to APL. Analogues APL19, APL35, APL43, APL76, and APL80, formed hydrogen bonds with protein (PDB ID: 5T8E) which is similar hydrogen bonding to the standard (APL). The MD simulation result confirmed that APL43 and APL80 complexes were stable during the 100nS run. Discussion: The results suggest that the APL analogues, particularly APL43 and APL80, are predicted to be potential antiandrogen drugs for the treatment of prostate cancer.

Optimizing the affinity selection mass spectrometry workflow for efficient identification and ranking of potent USP1 inhibitors

An optimized Affinity Selection-Mass Spectrometry (AS-MS) workflow has been developed for the efficient identification of potent USP1 inhibitors. USP1 was immobilized on agarose beads, ensuring low small molecule retention, efficient protein capture, and protein stability. The binding affinity of 49 compounds to USP1 was evaluated using the optimized AS-MS method, calculating binding index (BI) values for each compound. Biochemical inhibition assays validated the AS-MS results, revealing a potential correlation between higher BI values and lower IC50 values. This optimized workflow enables rapid identification of high-quality USP1 inhibitor hits, facilitating structure-activity relationship studies and accelerating the discovery of potential cancer therapeutics.

FLASH Radiotherapy: Mechanisms of Biological Effects and the Therapeutic Potential in Cancer.

Radiotherapy is an important treatment for many unresectable advanced malignant tumors, and radiotherapy-associated inflammatory reactions to radiation and other toxic side effects are significant reasons which reduce the quality of life and survival of patients. FLASH-radiotherapy (FLASH-RT), a prominent topic in recent radiation therapy research, is an ultra-high dose rate treatment known for significantly reducing therapy time while effectively targeting tumors. This approach minimizes radiation side effects on at-risk organs and maximally protects surrounding healthy tissues. Despite decades of preclinical exploration and some notable achievements, the mechanisms behind FLASH effects remain debated. Standardization is still required for the type of FLASH-RT rays and dose patterns. This review addresses the current state of FLASH-RT research, summarizing the biological mechanisms behind the FLASH effect. Additionally, it examines the impact of FLASH-RT on immune cells, cytokines, and the tumor immune microenvironment. Lastly, this review will discuss beam characteristics, potential clinical applications, and the relevance and applicability of FLASH-RT in treating advanced cancers.

A Comprehensive Pan-Cancer Analysis of Cytochrome C Oxidase Assembly Factor 1 (COA1) Reveals Instrumental Role of Mitochondrial Protein Assembly in Cancer that Modulates Disease Progression and Prognostic Outcome.

Cytochrome c oxidase assembly factor 1 (COA1), a mitochondrial respiratory chain complex assembly factor protein of inner mitochondrial membrane (IMM), is involved in translating many mitochondrial components and assembling nuclear-encoded components within mitochondria. Given the lack of extensive research on COA1 in cancer, this study undertakes a comprehensive pan-cancer analysis of COA1, which is overexpressed across various cancer types, shedding light on its multifaceted role in tumorigenesis, prognosis, and tumor microenvironment (TME) modulation. Leveraging bioinformatics tools and public databases, we elucidated its potential as a diagnostic cancer biomarker as well as a target for novel anti-cancer therapeutics. Gene expression analysis using "TIMER2.0", "UALCAN" and "GEPIA2" platforms, supported by protein expression data, revealed a significant correlation between COA1 upregulation and poor prognosis in Kaplan-Meir analysis, underscoring its clinical relevance. Additionally, genetic mutation analysis of COA1 with the help of "cBioPortal" warrants further exploration into its functional significance. Moreover, our investigation of the tumor microenvironment unveiled the interplay of COA1 with fibroblast and T cell infiltration implicating the role of COA1 in the tumor immune microenvironment. Furthermore, COA1-related gene enrichment study in "GeneMANIA" and pathway cross-talk analysis with Gene Ontology (GO) gene sets established comprehensive clarifications about the molecular pathways and protein networks associated with COA1 deregulation. Overall, this study lays a sturdy foundation to support future research endeavors targeting COA1, unraveling the molecular mechanisms underlying COA1 deregulation, and exploring its therapeutic potential in cancer.

Clinical Correlation of Transcription Factor SOX3 in Cancer: Unveiling Its Role in Tumorigenesis.

Members of the SOX (SRY-related HMG box) family of transcription factors are crucial for embryonic development and cell fate determination. This review investigates the role of SOX3 in cancer, as aberrations in SOX3 expression have been implicated in several cancers, including osteosarcoma, breast, esophageal, endometrial, ovarian, gastric, hepatocellular carcinomas, glioblastoma, and leukemia. These dysregulations modulate key cancer outcomes such as apoptosis, epithelial-mesenchymal transition (EMT), invasion, migration, cell cycle, and proliferation, contributing to cancer development. SOX3 exhibits varied expression patterns correlated with clinicopathological parameters in diverse tumor types. This review aims to elucidate the nuanced role of SOX3 in tumorigenesis, correlating its expression with clinical and pathological characteristics in cancer patients and cellular modelsBy providing a comprehensive exploration of SOX3 involvement in cancer, this review underscores the multifaceted role of SOX3 across distinct tumor types. The complexity uncovered in SOX3 function emphasizes the need for further research to unravel its full potential in cancer therapeutics.