Targeting Different Pathways Using Novel Combination Therapy in Triple Negative Breast Cancer

Phyto-therapeutics as anti-cancer agents in breast cancer: Pathway targeting and mechanistic elucidation

Cancer of the breast is the mainly prevalent class of cancer in females diagnosed over the globe. It also happens to be the 2nd most prevalent reason of cancer-related deaths among females worldwide. Some of the most common type's therapies for carcinoma of the breast involve radiation therapy, chemotherapy, and resection. Many studies are being conducted to develop new therapeutic strategies for better diagnosis of breast cancer. An enormous number of anticancer medications have been developed as a result of growing understanding of the molecular pathways behind the advancement of cancer. Over the past few decades, the general survival rate has not greatly increased due to the usage of chemically manufactured medications. Therefore, in order to increase the effectiveness of current cancer treatments, new tactics and cutting-edge chemoprevention drugs are required. Phytochemicals, which are naturally occurring molecules derived from plants, are important sources for both cancer therapy and innovative medication development. These phytochemicals frequently work by controlling molecular pathways linked to the development and spread of cancer. Increasing antioxidant status, inactivating carcinogens, preventing proliferation, causing cell cycle arrest and apoptosis, and immune system control are some of the specific ways. This primary objective of this review is to provide an overview of the active ingredients found in natural goods, including information on their pharmacologic action, molecular targets, and current state of knowledge. We have given a thorough description of a number of natural substances that specifically target the pathways linked to breast carcinoma in this study. We've conducted a great deal of study on a few natural compounds that may help us identify novel targets for the detection of breast carcinoma.

Enhanced therapeutic efficacy of doxorubicin/cyclophosphamide in combination with pitavastatin or simvastatin against breast cancer cells

Fighting breast tumors mandates finding different agents devoid of chemotherapy side effects. Repurposing existing drugs, such as statins, presents a promising avenue for the development of novel cancer therapeutics. Based on the different effects of statin members, this study aims to evaluate the effect of two of the most promising lipophilic statins, Simvastatin and Pitavastatin, and their combination with a conventional chemotherapeutic regimen of doxorubicin and cyclophosphamide on breast cancer cells. MDA-MB-231 and MCF7 cell lines were used to analyze the effects of Pitavastatin and simvastatin in combination with doxorubicin/cyclophosphamide. Cell viability and cell cycle were analyzed and certain apoptosis-related genes such as Bax, Bcl2, and caspase-3, besides cyclin D1 were analyzed using qPCR. The viability of breast cancer cells decreased significantly after treatment with a doxorubicin/cyclophosphamide combination in the presence of Pitavastatin or simvastatin compared with dual doxorubicin/cyclophosphamide with a higher effect in MDA-MB-231 cells than MCF7. In MDA-MB-231, The triple combination of Pitavastatin or simvastatin with doxorubicin/cyclophosphamide resulted in an increase in the expression levels of apoptotic markers than treatment with doxorubicin/cyclophosphamide combination (Bax (p-value = 0.09& 0.02, respectively), Bax/Bcl2 ratio (p-value = 0.0002& <0.0001, respectively)). However, the increase in caspase3 wasn't significant (p-value = 0.45& 0.09, respectively). Moreover, the expression of cyclin D1 decreased (p-value = 0.0002& <0.0001, respectively) and the cell cycle was arrested in the G1 phase. Combination of Pitavastatin or simvastatin with doxorubicin/ cyclophosphamide may induce apoptosis in breast cancer cells via upregulation of the Bax/Bcl2 pathway, potentially providing a promising new therapeutic strategy for breast cancer.

Decoding the molecular mechanism of stypoldione against breast cancer through network pharmacology and experimental validation

Breast cancer is the primary factor contributing to female mortality worldwide. The incidence has overtaken lung cancer. It is the most difficult illness due to its heterogeneity and is made up of several subtypes, including Luminal A and B, basal-like, Her-2 overexpressed and TNBC. Amongst different breast carcinoma subtypes, TNBC is the most deadly breast cancer subtype. The hostile nature of TNBC is mainly attributed to its lack of three hormonal receptors and hence lack of targeted therapy. Furthermore, the current diagnostic options like radiotherapy, surgery and chemotherapy render unsuccessful due to recurrence, treatment side effects and drug resistance. The majority of anticancer drugs come from natural sources or is developed from them, making nature a significant source of many medicines. Marine-based constituents such as nucleotides, proteins, peptides, and amides are receiving a lot of interest in the field of cancer treatment due to their bioactive properties. The role of stypoldione in this study as a prospective treatment for breast carcinoma was examined, and we sought to comprehend the molecular means/pathways this chemical employs in breast carcinoma. The most promising possibility for an anti-cancer treatment is stypoldione, a marine chemical produced from the brown alga Stypopodium zonale. We investigated stypoldione's mode of action in breast cancer using the network pharmacology method, and we confirmed our research by using a number of computational tools, including UALCAN, cBioportal, TIMER, docking, and simulation. The findings revealed 92 common targets between the chemical and breast cancer target network. Additionally, we found that stypoldione targets a number of unregulated genes in breast cancer, including: ESR1, HSP90AA1, CXCL8, PTGS2, APP, MDM2, JAK2, KDR, LCK, GRM5, MAPK14, KIT, and several signaling pathways such as FOXO signaling pathway, VEGF pathway, calcium signaling pathway, MAPK/ERK pathway and Neuroactive ligand-receptor interaction. The examined medication demonstrated a strong affinity for the major targets, according to a docking analysis. The best hit compound produced a stable protein-ligand pair, as predicted by molecular dynamics simulations. Our results are supported by the fact that when in-vitro assays were done on melanoma using stypoldione compound it was found that its mechanisms of action involved the PI3K/mTOR/Akt and NF-kB pathways. This study was set out to inspect the possible value of stypoldione as a breast cancer cure and to get a deeper understanding of the molecular mechanisms by which this drug acts on breast cancer.

Targeting breast cancer stem cells through retinoids: A new hope for treatment

Breast cancer is a complex and diverse disease accounting for nearly 30% of all cancers diagnosed in females. But unfortunately, patients develop resistance to the existing chemotherapeutic regimen, resulting in approximately 90% treatment failure. With over half a million deaths annually, it is imperative to explore new therapeutic approaches to combat the disease. Within a breast tumor, a small sub-population of heterogeneous cells, with a unique ability of self-renew and differentiation and responsible for tumor formation, initiation, and recurrence are referred to as breast cancer stem cells (BCSCs). These BCSCs have been identified as one of the main contributors to chemoresistance in breast cancer, making them an attractive target for developing novel therapeutic strategies. These cells exhibit surface biomarkers such as CD44+, CD24-/LOW, ALDH, CD133, and CD49f phenotypes. Higher expression of CD44+ and ALDH activity has been associated with the formation of tumors in various cancers. Moreover, the abnormal regulation of signaling pathways, including Hedgehog, Notch, β-catenin, JAK/STAT, and P13K/AKT/mTOR, leads to the formation of cancer stem cells, resulting in the development of tumors. The growing drug resistance in BC is a significant challenge, highlighting the need for new therapeutic strategies to combat this dreadful disease. Retinoids, a large group of synthetic derivatives of vitamin A, have been studied as chemopreventive agents in clinical trials and have been shown to regulate various crucial biological functions including vision, development, inflammation, and metabolism. On a cellular level, the retinoid activity has been well characterized and translated and is known to induce differentiation and apoptosis, which play important roles in the outcome of the transformation of tissues into malignant. Retinoids have been investigated extensively for their use in the treatment and prevention of cancer due to their high receptor-binding affinity to directly modulate gene expression programs. Therefore, in this study, we aim to summarize the current understanding of BCSCs, their biomarkers, and the associated signaling pathways. Retinoids, such as Adapalene, a third-generation retinoid, have shown promising anti-cancer potential and may serve as therapeutic agents to target BCSCs.

Network pharmacology and experimental validation for deciphering the action mechanism of Fritillaria cirrhosa D. Don constituents in suppressing breast carcinoma

Fritillaria cirrhosa D. Don is a well-known medicinal plant of Kashmir Himalaya. Traditionally, it has been used to treat several diseases, including cancer. However, the molecular mechanism behind anticancer activity remains unclear. Therefore, in the present study, we have performed high performance-liquid chromatography-mass spectrometry (HR-LC/MS), network pharmacology, molecular docking and molecular dynamic (MD) simulation methods were used to explore the underlying molecular mechanism of F. cirrhosa for the treatment of breast cancer (BC). The targets of F. cirrhosa for treating BC were predicted using databases like SwissTargetPrediction, Gene Cards and OMIM. Protein-protein interaction analysis and network construction were performed using the Search Tool for the Retrieval of Interacting Genes/Proteins programme, and analysis of Gene Ontology term enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment was done using the Cytoscape programme. In addition, molecular docking was used to investigate intermolecular interactions between the compounds and the proteins using the Autodock tool. MD simulations studies were also used to explore the stability of the representative AKT1 gene peiminine and Imperialine-3-β-glucoside. In addition, experimental treatment of F. cirrhosa was also verified. HR-LC/MS detected the presence of several secondary metabolites. Afterward, molecular docking was used to verify the effective activity of the active ingredients against the prospective targets. Additionally, Peiminine and Imperialine-3-β-glucoside showed the highest binding energy score against AKT-1 (-12.99 kcal/mol and -12.08 kcal/mol). AKT1 with Peiminine and Imperialine-3-β-glucoside was further explored for MD simulations. During the MD simulation study at 100 nanoseconds, a stable complex formation of AKT1 + Peiminine and Imperialine-3-β-glucoside was observed. The binding free energy calculations using MM/GBSA showed significant binding of the ligand with protein (ΔG: -79.83 ± 3.0 kcal/mol) between AKT1 + Peiminine was observed. The principal component analysis exhibited a stable converged structure by achieving global motion. Lastly, F. cirrhosa extracts also exhibited momentous anticancer activity through in vitro studies. Therefore, present study revealed the molecular mechanism of F. cirrhosa constituents for the effective treatment of BC by deactivating various multiple gene targets, multiple pathways particularly the PI3K-Akt signaling pathway. These findings emphasized the momentous anti-BC activity of F. cirrhosa constituents.Communicated by Ramaswamy H. Sarma.

In silico and in vitro study of bioactive compounds of Nigella sativa for targeting neuropilins in breast cancer

Introduction: Breast cancer poses a significant global challenge, prompting researchers to explore novel approaches for potential treatments. Material and Methods: For in vitro study we used thin layer chromatography (TAC) for phytochemical screening, total antioxidant capacity (TLC) assay for antioxidant capacity, and hemolytic activity test for toxicity of Neuropilins (NRPs). We performed bioinformatic analyses to predict protein structures, molecular docking, pharmacophore modeling, and virtual screening to reveal interactions with oncogenes. We conducted 200 ns Molecular Dynamics (MD) simulations and MMGBSA calculations to assess the complex dynamics and stability. Results: We identified phytochemical constituents in Nigella sativa leaves, including tannins, saponins, steroids, and cardiac glycosides, while phlobatannins and terpenoids were absent. The leaves contained 9.4% ± 0.04% alkaloids and 1.9% ± 0.05% saponins. Methanol extract exhibited the highest yield and antioxidant capacity, with Total Flavonoid Content at 127.51 ± 0.76 mg/100 g and Total Phenolic Content at 134.39 ± 0.589 mg GAE/100 g. Hemolysis testing showed varying degrees of hemolysis for different extracts. In-silico analysis indicated stable Neuropilin complexes with key signaling pathways relevant for anti-cancer therapy. Molecular docking scores at different possesses (0, C-50, C -80, C-120,C -150, C -200 ns) revealed strong hydrogen bonding in the complexes and showed -12.9, -11.6, and -11.2 binding Affinities (kcal/mol) to support their stability. Our MD simulations analysis at 200ns confirmed the stability of Neuropilin complexes with the signaling pathways protein PI3K. The calculated binding free energies using MMGBSA provided valuable quantitative information on ligand potency on different time steps. These findings highlight the potential health benefits of N. sativa leaves and their possible role in anti-cancer treatments targeting angiogenesis. Conclusion: Nigella sativa leaves have shown significant medical potential due to their bioactive compounds, which exhibit strong properties in supporting organogenic processes related to cancer. Furthermore, studies have highlighted the promising role of neuropilins in anticancer treatment, demonstrating stable interactions and potential as targeted therapy specifically for breast cancer.

Synthesis and Biological Evaluation of Novel Uracil Derivatives as Thymidylate Synthase Inhibitors

Cell division is driven by nucleic acid metabolism, and thymidylate synthase (TYMS) catalyzes a rate-limiting step in nucleotide synthesis. As a result, thymidylate synthase has emerged as a critical target in chemotherapy. 5-Fluorouracil (5-FU) is currently being used to treat a wide range of cancers, including breast, pancreatic, head and neck, colorectal, ovarian, and gastric cancers The objective of this study was to establish a new methodology for the low-cost, one-pot synthesis of uracil derivatives (UD-1 to UD-5) and to evaluate their therapeutic potential in BC cells. One-pot organic synthesis processes using a single solvent were used for the synthesis of drug analogues of Uracil. Integrated bioinformatics using GEPIA2, UALCAN, and KM plotter were utilized to study the expression pattern and prognostic significance of TYMS, the key target gene of 5-fluorouracil in breast cancer patients. Cell viability, cell proliferation, and colony formation assays were used as in vitro methods to validate the in silico lead obtained. BC patients showed high levels of thymidylate synthase, and high expression of thymidylate synthase was found associated with poor prognosis. In silico studies indicated that synthesized uracil derivatives have a high affinity for thymidylate synthase. Notably, the uracil derivatives dramatically inhibited the proliferation and colonization potential of BC cells in vitro. In conclusion, our study identified novel uracil derivatives as promising therapeutic options for breast cancer patients expressing the augmented levels of thymidylate synthase.

Elucidation of interleukin-19 as a therapeutic target for breast cancer by computational analysis and experimental validation

Interleukin 19 (IL-19) is a cytokine produced by monocytes and belongs to the family of IL-10. The IL-19 protein stimulates fibronectin (FN) expression and assembly, metastasis, and cell division in breast cancer (BC) cells. IL-19, which is connected to breast pathogenesis and has an autocrine action in BC cells, is a key predictor of prognosis for many tumour forms, including breast cancer. Augmented IL-19 expression has been related to poorer clinical outcomes for patients with BC and directly enhances proliferation and migration while also serving as a microenvironment for tumour formation. The main aim of our study was to examine the expression profile, functional role, and prognostic significance of interleukin-19 in BC pathogenesis and also to find out the molecular mechanism of IL-19 in BC. In this work, we used the various computational approach and tools, to evaluate the expression profile and prognostic implication of IL-19 in BC and discover the role of IL-19 in BC pathogenesis. IL-19 was shown to be highly upregulated in BC as compared to other interleukins. Also, its levels were highly overexpressed in liminal BC patients, mostly in 3rd stage groups under the age group of 21-40 years. IL-19 levels were increased in BC and elevated expression of IL-19 was examined to have worse overall survival (OS). The KEGG analysis and gene ontology of IL-19 depict that IL-19 is significantly augmented in cytokine activity and receptor-ligand activity and also in the JAK-STAT signaling pathway. Moreover, IL-19 showed a high correlation with IL20RA, as later is involved with the JAK-STAT signaling pathway. The in-vivo and in-vitro studies have also reflected that upregulation of IL-19 enhances tumor development and affects clinical outcomes in BC patients through several pathways including the JAK TAT signalling pathway. Overall, our study indicates that IL-19 increases tumour growth and that inhibiting it in addition to standard treatments will greatly improve BC patient's therapeutic responses.

Hypoxia: syndicating triple negative breast cancer against various therapeutic regimens

Triple-negative breast cancer (TNBC) is one of the deadliest subtypes of breast cancer (BC) for its high aggressiveness, heterogeneity, and hypoxic nature. Based on biological and clinical observations the TNBC related mortality is very high worldwide. Emerging studies have clearly demonstrated that hypoxia regulates the critical metabolic, developmental, and survival pathways in TNBC, which include glycolysis and angiogenesis. Alterations to these pathways accelerate the cancer stem cells (CSCs) enrichment and immune escape, which further lead to tumor invasion, migration, and metastasis. Beside this, hypoxia also manipulates the epigenetic plasticity and DNA damage response (DDR) to syndicate TNBC survival and its progression. Hypoxia fundamentally creates the low oxygen condition responsible for the alteration in Hypoxia-Inducible Factor-1alpha (HIF-1α) signaling within the tumor microenvironment, allowing tumors to survive and making them resistant to various therapies. Therefore, there is an urgent need for society to establish target-based therapies that overcome the resistance and limitations of the current treatment plan for TNBC. In this review article, we have thoroughly discussed the plausible significance of HIF-1α as a target in various therapeutic regimens such as chemotherapy, radiotherapy, immunotherapy, anti-angiogenic therapy, adjuvant therapy photodynamic therapy, adoptive cell therapy, combination therapies, antibody drug conjugates and cancer vaccines. Further, we also reviewed here the intrinsic mechanism and existing issues in targeting HIF-1α while improvising the current therapeutic strategies. This review highlights and discusses the future perspectives and the major alternatives to overcome TNBC resistance by targeting hypoxia-induced signaling.

Mechanistic elucidation of Juglanthraquinone C targeting breast Cancer: A network Pharmacology-based investigation

Breast cancer is the leading cause of death among women worldwide. Despite the recent treatment options like surgery, chemotherapy etc. the lethality of breast cancer is alarming. Natural compounds are considered a better treatment option against breast carcinoma because of their lower side effects and specificity in targeting important proteins involved in the aberrant activation of pathways in breast cancer. A recently discovered compound called Juglanthraquinone C, which is found in the bark of the Juglans mandshurica Maxim (Juglandaceae) tree has shown promising cytotoxicity in hepatocellular carcinoma. However, not much data is available on the molecular mechanisms followed by this compound. Therefore, we aimed to investigate the molecular mechanism followed by Juglanthraquinone C against breast cancer. We used the network pharmacology technique to analyse the mechanism of action of Juglanthraquinone C in breast cancer and validated our study by applying various computational tools such as UALCAN, cBioportal, TIMER, docking and simulation. The results showed the compound and breast cancer target network shared 31 common targets. Moreover, we observed that Juglanthraquinone C targets multiple deregulated genes in breast cancer such as TP53, TGIF1, IGF1R, SMAD3, JUN, CDC42, HBEGF, FOS and signaling pathways such as PI3K-Akt pathway, TGF-β signaling pathway, MAPK pathway and HIPPO signaling pathway. A docking examination revealed that the investigated drug had a high affinity for the primary target TGIF1 protein. A stable protein-ligand combination was generated by the best hit molecule, according to molecular dynamics modeling. The main aim of this study was to examine Juglanthraquinone C's significance as a prospective breast cancer treatment and to better understand the molecular mechanism this substance uses in breast cancer since there is a need to discover new therapeutics to decrease the load on current therapeutics which also are currently ineffective due to several side effects and development of drug resistance.

A network pharmacology-based investigation of brugine reveals its multi-target molecular mechanism against Breast Cancer

Breast cancer represents the leading cause of mortality among women worldwide. Since the complexity of breast cancer as a disease resides in its heterogeneity as it consists of several subtypes such as hormone receptor-positive subtypes: Luminal A, Luminal B, Her2- overexpressed, basal-like and hormone receptor-negative subtype: TNBC. Among all the subtypes, triple negative breast cancer (TNBC) is the most lethal and complex subtype. Moreover, the available treatment options like surgery, radiation therapy, and chemotherapy are not sufficient because of the associated side effects and drug resistance development. Therefore, discovery of new effective natural compounds with anti-tumor activity is required. In this pursuit, marine organisms provide a plentiful supply of such chemicals compounds. A marine compound Brugine found in the bark and stem of mangrove species Bruguiera sexangula is a potential anti-cancer compound. It has shown its cytotoxic activity against sarcoma 180 and lewis lung cancer. The molecular processes, however, are currently unknown. So, in order to research the molecular pathways this compound utilizes, we sought to apply a network pharmacology approach. The network pharmacology strategy we used in this investigation to identify and evaluate possible molecular pathways involved in the treatment of breast cancer with brugine was supported by simulation and molecular docking experiments. The study was conducted using various databases such as the cancer genome atlas (TCGA) for the genetic profile study of breast cancer, Swiss ADME for studying the pharmacodynamic study of brugine, Gene cards for collection of information of genes, STRING was used to study the interaction among proteins, AutoDock vina was to study the binding efficacy of brugine with the best fit protein. The results showed that the compound and breast cancer target network shared 90 common targets. According to the functional enrichment analysis brugine exhibited its effects in breast cancer via modulating certain pathways such as cAMP signaling pathway, JAK/STAT pathway, HIF-1 signaling pathway PI3K-Akt pathway, calcium signaling pathway, and Necroptosis. Molecular docking investigations demonstrated that the investigated marine compound has a high affinity for the key target, protein kinase A (PKA). A stable protein-ligand combination was created by the best hit molecule, according to molecular dynamics modeling. The purpose of this research was to examine the importance of brugine as a potentially effective treatment for breast cancer and to obtain knowledge of the molecular mechanism used by this substance in breast cancer.

Detection and Isolation of Circulating Tumor Cells from Breast Cancer Patients Using CUB Domain-Containing Protein 1

In cancer metastasis, single circulating tumor cells (CTCs) in the blood and disseminated tumor cells (DTCs) in the bone marrow mediate cancer metastasis. Because suitable biomarker proteins are lacking, CTCs and DTCs with mesenchymal attributes are difficult to isolate from the bulk of normal blood cells. To establish a procedure allowing the isolation of such cells, we analyzed the cell line BC-M1 established from DTCs in the bone marrow of a breast cancer patient by stable isotope labeling by amino acids in cell culture (SILAC) and mass spectrometry. We found high levels of the transmembrane protein CUB domain-containing protein 1 (CDCP1) in breast cancer cell lines with mesenchymal attributes. Peripheral blood mononuclear cells were virtually negative for CDCP1. Confirmation in vivo by CellSearch revealed CDCP1-positive CTCs in 8 of 30 analyzed breast cancer patients. Only EpCam-positive CTCs were enriched by CellSearch. Using the extracellular domain of CDCP1, we established a magnetic-activated cell sorting (MACS) approach enabling also the enrichment of EpCam-negative CTCs. Thus, our approach is particularly suited for the isolation of mesenchymal CTCs with downregulated epithelial cancer that occur, for example, in triple-negative breast cancer patients who are prone to therapy failure.

A hierarchical tumor-targeting strategy for eliciting potent antitumor immunity against triple negative breast cancer

Triple negative breast cancer (TNBC) as a highly aggressive and metastatic malignancy lacks targeting therapies nowadays. Moreover, although immune checkpoint blockade (ICB) is known to trigger anti-tumor immune response, most TNBC falls into the immunologically "cold" category unsuitable for ICB therapy due to insufficient lymphocyte infiltration. Herein, we develop a hierarchical targeting strategy for preparing a core-shell-structural nanodrug to concurrently block the programmed death ligand 1 (PD-L1) and deliver a stimulator of interferon gene (STING) agonist into tumor-infiltrating antigen-presenting cells (APCs). The nanodrug complexed the interferon stimulatory DNA (ISD) for STING activation in its core, conjugated PD-L1 antibody (aPD-L1) on its shell through a matrix metalloproteinase-2 (MMP-2) substrate peptide, and incorporated "hidden" mannose in its sublayer. Through aPD-L1-mediated active targeting of tumor cells and tumor-infiltrating APCs, the nanodrug efficiently accumulated in tumor sites. Then, the PD-L1-conjugating peptide was cleaved by tumor-enriched MMP-2, leaving aPD-L1 on target cells for ICB while exposing mannose to mediate targeted delivery of ISD into tumor-infiltrating dendritic cells (DCs) and tumor-associated macrophages (TAMs). Activating the STING signaling in DCs and TAMs not only stimulated the APCs maturation to prime anti-tumor immunity but also induced their chemokine secretion to promote tumor infiltration of anti-tumor effector T cells, thus sensitizing TNBC to the ICB therapy. Consequently, a potent antitumor immunity was evoked to effectively inhibit the tumor growth and metastasis in mice bearing orthotopic 4T1 breast cancer, showing the great potential in treating immunologically "cold" tumors.

Targeting aurora kinase a (AURKA) in cancer: molecular docking and dynamic simulations of potential AURKA inhibitors

The Aurora family of serine/threonine kinases in mammals are key regulators of mitotic progression and are commonly upregulated in human tumors. Since AURKA's increased expression has been linked to cancer, AURKA inhibitors could reduce AURKA expression and function as potent therapeutic drugs. The study's objective was to find and categorize inhibitors with a stronger affinity for AURKA. This study also aimed to identify AURKA's expression profile and prognostic significance across pan-cancers. We looked into therapeutic compounds that were structurally comparable to MK8745 for their potential to selectively inhibit AURKA. We used drug likeliness analysis, MD simulation studies to evaluate the therapeutic possibility of screened MK8745 analogues. AURKA was found to be strongly upregulated in several cancers and is linked to worse overall and relapse-free survival. The Molecular docking and dynamic analysis revealed two new MK8745 analogues to be potent AURKA inhibitors with higher binding affinities and stabilities than MK8745. Furthermore, MK8745 analogues are potential replacements for MK8745 because they have strong binding affinity, which is consistent with MDS results, and have appropriate ADMET properties. Through basic, clinical, and preclinical research, the identification of novel compounds may open the door for their prospective use in the prevention of cancer.

Expression patterns and therapeutic implications of histone deacetylase-1 across carcinomas: a comprehensive molecular docking and MD simulation study

Histone deacetylases (HDACs) are a group of enzymes that control the expression of genes by deacetylating lysine residues on histone and nonhistone proteins. They control the expression of several proteins linked to the development and spread of cancer. Deregulation of HDAC1 has been reported across several tumors, and targeting HDAC1 with specific inhibitors has demonstrated a promising therapeutic strategy. Mocetinostat, an HDAC1 inhibitor, is yielding promising results both in vitro and in vivo studies. However, toxicities associated with Mocetinostat limit its therapeutic efficacy, so there is an urgent need to investigate novel HDAC1 inhibitors. The present study aimed to explore novel HDAC1 inhibitors and investigate the expression profile, and the prognostic and diagnostic significance of HDAC1 across pan-cancers. HDAC1 was found overexpressed across several tumors and its high expression signifies worse OS and RFS. Also, the study identified two novel HDAC1 inhibitors using an in-silico approach with high binding affinity for HDAC1 compared to Mocetinostat and formed significantly stable complexes. In conclusion, the study signifies that targeting HDAC1 is a promising therapeutic strategy, and exploring novel therapeutic agents through basic, translational design may lead to their ultimate use in cancer prevention.

Adapalene inhibits the growth of triple-negative breast cancer cells by S-phase arrest and potentiates the antitumor efficacy of GDC-0941

Although advances in diagnostics and therapeutics have prolonged the survival of triple-negative breast cancer (TNBC) patients, metastasis, therapeutic resistance, and lack of targeted therapies remain the foremost hurdle in the effective management of TNBC. Thus, evaluation of new therapeutic agents and their efficacy in combination therapy is urgently needed. The third-generation retinoid adapalene (ADA) has potent antitumor activity, and using ADA in combination with existing therapeutic regimens may improve the effectiveness and minimize the toxicities and drug resistance. The current study aimed to assess the anticancer efficacy of adapalene as a combination regimen with the PI3K inhibitor (GDC-0941) in TNBC in vitro models. The Chou–Talalay’s method evaluated the pharmacodynamic interactions (synergism, antagonism, or additivity) of binary drug combinations. Flow cytometry, Western blotting, and in silico studies were used to analyze the mechanism of GDC–ADA synergistic interactions in TNBC cells. The combination of GDC and ADA demonstrated a synergistic effect in inhibiting proliferation, migration, and colony formation of tumor cells. Accumulation of reactive oxygen species upon co-treatment with GDC and ADA promoted apoptosis and enhanced sensitivity to GDC in TNBC cells. The findings indicate that ADA is a promising therapeutic agent in treating advanced BC tumors and enhance sensitivity to GDC in inhibiting tumor growth in TNBC models while reducing therapeutic resistance.

Adapalene and Doxorubicin Synergistically Promote Apoptosis of TNBC Cells by Hyperactivation of the ERK1/2 Pathway Through ROS Induction

Doxorubicin is a commonly used chemotherapeutic agent to treat several malignancies, including aggressive tumors like triple-negative breast cancer. It has a limited therapeutic index owing to its extreme toxicity and the emergence of drug resistance. As a result, there is a pressing need to find innovative drugs that enhance the effectiveness of doxorubicin while minimizing its toxicity. The rationale of the present study is that combining emerging treatment agents or repurposed pharmaceuticals with doxorubicin might increase susceptibility to therapeutics and the subsequent establishment of improved pharmacological combinations for treating triple-negative breast cancer. Additionally, combined treatment will facilitate dosage reduction, reducing the toxicity associated with doxorubicin. Recently, the third-generation retinoid adapalene was reported as an effective anticancer agent in several malignancies. This study aimed to determine the anticancer activity of adapalene in TNBC cells and its effectiveness in combination with doxorubicin, and the mechanistic pathways in inhibiting tumorigenicity. Adapalene inhibits tumor cell growth and proliferation and acts synergistically with doxorubicin in inhibiting growth, colony formation, and migration of TNBC cells. Also, the combination of adapalene and doxorubicin enhanced the accumulation of reactive oxygen species triggering hyperphosphorylation of Erk1/2 and caspase-dependent apoptosis. Our results demonstrate that adapalene is a promising antitumor agent that may be used as a single agent or combined with present therapeutic regimens for TNBC treatment.

Anti-CD44 and EGFR Dual-Targeted Solid Lipid Nanoparticles for Delivery of Doxorubicin to Triple-Negative Breast Cancer Cell Line: Preparation, Statistical Optimization, and In Vitro Characterization

Background

Despite being more aggressive than other types of breast cancer, there is no suitable treatment for triple-negative breast cancer (TNBC). Here, we designed doxorubicin-containing solid lipid nanoparticles (SLNs) decorated with anti-EGFR/CD44 dual-RNA aptamers, which are overexpressed in TNBC. For more efficiency in the nuclear delivery of doxorubicin, dexamethasone (Dexa) was chemically attached to the surface of nanoparticles.

Methods

To prepare the cationic SLNs, 6-lauroxyhexyl BOC-ornithine (LHON) was synthesized and was chemically attached to dexamethasone to form Dexa-LHON complexes. The doxorubicin-containing SLNs were prepared via double emulsification (w/o/w) and the solvent evaporation technique. The preparation of SLNs was statistically optimized using the central composite response surface methodology. Independent factors were the GMS/lecithin concentration ratio and the amount of Tween 80, while responses considered were particle size, polydispersity index, and entrapment efficiency of the nanoparticles. The optimized nanoparticles were studied morphologically using transmission electron microscopy, and in vitro release of doxorubicin from nanoparticles was studied in phosphate-buffered saline. Then, the designated aptamers were attached to the surface of nanoparticles using electrostatic interactions, and their cytotoxicity was assessed in vitro.

Results

The size, PDI, zeta potential, EE%, and LE% of the prepared nanoparticles were 101 ± 12.6 nm, 0.341 ± 0.005, +13.6 ± 1.83 mV, 69.98 ± 7.54%, and 10.2 ± 1.06%, respectively. TEM images revealed spherical nanoparticles with no sign of aggregation. In vitro release study exhibited that 96.1 ± 1.97% of doxorubicin was released within 48 h of incubation. The electrostatic attachment of the designated aptamers to the nanoparticles' surface was confirmed by reducing the zeta potential to −15.6 ± 2.07 mV. The in vitro experiments revealed that the SLNs/DOX/Dexa/CD44 or EGFR aptamers were substantially more successful than SLNs/DOX/Dexa at inhibiting cell proliferation. Using the MDA-MB-468 cell line, we discovered that SLN/DOX/Dexa/CD44/EGFR aptamers were more effective than other constructs in inhibiting cell proliferation (p < 0.001). The reduction of cell viability using this construct suggests that targeting numerous proliferation pathways is effective.

Conclusion

Overall, the finding of this investigation suggested that SLNs/DOX/Dexa/CD44/EGFR could be a promising new enhanced anticancer delivery system and deserved further preclinical consideration.

Effect of concomitant use of pitavastatin with neoadjuvant chemotherapy protocols in breast cancer patients: A randomized controlled clinical trial

Introduction

Preclinical studies have demonstrated the possible anticancer effects of statins, but the synergistic effect of concomitant statin use with standard chemotherapy protocols in patients with breast cancer has not yet been investigated.

Aim

The current study aimed to evaluate the efficacy of concomitant pitavastatin use with neoadjuvant chemotherapy protocols in patients with breast cancer.

Methods

This study was a randomized controlled clinical trial. A total of 70 adult female patients with pathologically-proven invasive breast cancer were randomized to receive or not receive pitavastatin (2 mg) oral tablets once daily concomitantly with standard neoadjuvant chemotherapy protocols for 6 months. The primary outcomes of this study were changes in tumor size and changes to the Ki67 index. In addition, secondary outcomes were changes in cyclin D1 and cleaved caspase-3 serum levels. This study was registered at ClinicalTrials.gov (Identifier: NCT04705909).

Results

Patients in the pitavastatin group showed significantly higher median (IQR) reductions in tumor size [−19.8 (−41.5, 9.5)] compared to those in the control group [−5.0 (−15.5, 0.0), p = 0.0009]. The change in Ki67 from baseline to the end of therapy was similar between the two groups (p = 0.12). By the end of therapy, the cyclin D1 levels in the pitavastatin group were significantly decreased [median (IQR) change of − 10.0 (−20.2, −2.9) from baseline], whereas the control group showed an increase in cyclin D1 levels [14.8 (4.1, 56.4)]. The median (IQR) caspase−3 was elevated in the pitavastatin group 1.6 (0.2, 2.2), and decreased in the control group (−0.2 (−1.1, 0.0), p = 0.0002).

Subgroup analysis of the pitavastatin group revealed that patients with positive human epidermal growth receptor 2 (HER2) had higher median (IQR) reductions in Ki67 [−35.0 (−70.0, −12.5)] than those with negative HER2 [2.5 (−15.0, 10.0), p = 0.04]. All patients who achieved a complete pathological response (n = 9) exhibited an HER2-neu positive receptor at baseline.

Conclusion

Concomitant use of pitavastatin with standard neoadjuvant chemotherapy protocols may improve neoadjuvant chemotherapy responses in patients with breast cancer.

Targeting cyclin-dependent kinase 1 (CDK1) in cancer: molecular docking and dynamic simulations of potential CDK1 inhibitors

Cell cycle dysregulation is a characteristic hallmark of malignancies, which results in uncontrolled cell proliferation and eventual tumor formation. Cyclin-dependent kinase 1 (CDK1) is a member of the family of cell cycle regulatory proteins involved in cell cycle maintenance. Given that overexpression of CDK1 has been associated with cancer, CDK1 inhibitors may restore equilibrium to the skewed cell cycle system and operate as an effective therapeutic drug. This study aimed to identify and classify inhibitors having a higher affinity for CDK1 and also evaluate the expression pattern and prognostic relevance of CDK1 in a wide range of cancers. We investigated therapeutic molecules structurally similar to dinaciclib for their ability to inhibit CDK1 selectively. To assess the therapeutic potential of screened Dinaciclib analogs, we used drug likeliness analysis, molecular docking, and simulation analysis. CDK1 was found to be highly upregulated across several malignancies and is associated with poor overall and relapse-free survival. Molecular docking and dynamics evaluation identified two novel dinaciclib analogs as potent CDK1 inhibitors with high binding affinity and stability compared to dinaciclib. The results indicate that increased CDK1 expression is associated with decreased OS and RFS. Additionally, dinaciclib analogs are prospective replacements for dinaciclib since they exhibit increased binding affinity, consistent with MDS findings, and have acceptable ADMET qualities. The discovery of new compounds may pave the road for their future application in cancer prevention through basic, preclinical, and clinical research.

Cyclin-dependent kinases in breast cancer: expression pattern and therapeutic implications

Presently, breast cancer (BC) is one of the most common malignancies diagnosed and the leading cause of tumor-related deaths among women worldwide. Cell cycle dysregulation is one of the hallmarks of cancer, resulting in uncontrolled cell proliferation. Cyclin-dependent kinases (CDKs) are central to the cell cycle control system, and deregulation of these kinases leads to the development of malignancies, including breast cancer. CDKs and cyclins have been reported as crucial components involved in tumor cell proliferation and metastasis. Given the aggressive nature, tumor heterogeneity, and chemoresistance, there is an urgent need to explore novel targets and therapeutics to manage breast cancer effectively. Inhibitors targeting CDKs modulate the cell cycle, thus throwing light upon their therapeutic aspect where the progression of tumor cells could be inhibited. This article gives a comprehensive account of CDKs in breast cancer progression and metastasis and recent developments in the modulation of CDKs in treating malignancies. We have also explored the expression pattern and prognostic significance of CDKs in breast cancer patients. The article will also shed light on the Implications of CDK inhibition and TGF-β signaling in breast cancer.

Cryptolepine Targets TOP2A and Inhibits Tumor Cell Proliferation in Breast Cancer Cells - An in vitro and in silico Study

BACKGROUND

DNA Topoisomerase II Alpha (TOP2A), a protein-coding gene, is central to the replication process and has been found deregulated in several malignancies, including breast cancer. Several therapeutic regimens have been developed and approved for targeting TOP2A and have prolonged the survival of cancer patients. However, due to the inherent nature of the tumor cell to evolve, the earlier positive response turns into a refractory chemoresistance in breast cancer patients.

OBJECTIVE

The study's main objective was to analyze the expression pattern and prognostic significance of TOP2A in breast cancer patients and screen new therapeutic molecules targeting TOP2A.

METHODS

We utilized an integrated bioinformatic approach to analyze the expression pattern, genetic alteration, immune association, and prognostic significance of TOP2A in breast cancer (BC) and screened natural compounds targeting TOP2A, and performed an in-silico and an in vitro analysis.

RESULTS

Our study showed that TOP2A is highly overexpressed in breast cancer tissues and overexpression of TOP2A correlates with worse overall survival (OS) and relapse-free survival (RFS). Moreover, TOP2A showed a high association with tumor stroma, particularly with myeloid-derived suppressor cells. Also, in silico and in vitro analysis revealed cryptolepine as a promising natural compound targeting TOP2A.

CONCLUSION

Cumulatively, this study signifies that TOP2A promotes breast cancer progression, and targeting TOP2A in combination with other therapeutic agents will significantly enhance the response of BC patients to therapy and reduce the development of chemoresistance.

Radiomics, aptamers and nanobodies: New insights in cancer diagnostics and imaging

At present, cancer is a major health issue and the second leading cause of mortality worldwide. Researchers have been working hard on investigating not only improved therapeutics but also on early detection methods, both critical to increasing treatment efficacy and developing methods for disease prevention. Diagnosis of cancers at an early stage can promote timely medical intervention and effective treatment and will result in inhibiting tumor growth and development. Several advances have been made in the diagnostics and imagining technologies for early tumor detection and deciding an effective therapy these include radiomics, nanobodies, and aptamers. Here in this review, we summarize the main applications of radiomics, aptamers, and the use of nanobody-based probes for molecular imaging applications in diagnosis, treatment planning, and evaluations in the field of oncology to develop quantitative and personalized medicine. The preclinical data reported to date are quite promising, and it is predicted that nanobody-based molecular imaging agents will play an important role in the diagnosis and management of different cancer types in near future.

Highly heterogeneous-related genes of triple-negative breast cancer: potential diagnostic and prognostic biomarkers

Background

Triple-negative breast cancer (TNBC) is a highly heterogeneous subtype of breast cancer, showing aggressive clinical behaviors and poor outcomes. It urgently needs new therapeutic strategies to improve the prognosis of TNBC. Bioinformatics analyses have been widely used to identify potential biomarkers for facilitating TNBC diagnosis and management.

Methods

We identified potential biomarkers and analyzed their diagnostic and prognostic values using bioinformatics approaches. Including differential expression gene (DEG) analysis, Receiver Operating Characteristic (ROC) curve analysis, functional enrichment analysis, Protein-Protein Interaction (PPI) network construction, survival analysis, multivariate Cox regression analysis, and Non-negative Matrix Factorization (NMF).

Results

A total of 105 DEGs were identified between TNBC and other breast cancer subtypes, which were regarded as heterogeneous-related genes. Subsequently, the KEGG enrichment analysis showed that these genes were significantly enriched in ‘cell cycle’ and ‘oocyte meiosis’ related pathways. Four (FAM83B, KITLG, CFD and RBM24) of 105 genes were identified as prognostic signatures in the disease-free interval (DFI) of TNBC patients, as for progression-free interval (PFI), five genes (FAM83B, EXO1, S100B, TYMS and CFD) were obtained. Time-dependent ROC analysis indicated that the multivariate Cox regression models, which were constructed based on these genes, had great predictive performances. Finally, the survival analysis of TNBC subtypes (mesenchymal stem-like [MSL] and mesenchymal [MES]) suggested that FAM83B significantly affected the prognosis of patients.

Conclusions

The multivariate Cox regression models constructed from four heterogeneous-related genes (FAM83B, KITLG, RBM24 and S100B) showed great prediction performance for TNBC patients’ prognostic. Moreover, FAM83B was an important prognostic feature in several TNBC subtypes (MSL and MES). Our findings provided new biomarkers to facilitate the targeted therapies of TNBC and TNBC subtypes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08318-1.

Prognostic significance and targeting tumor-associated macrophages in cancer: new insights and future perspectives

Macrophages are phagocytic sentinel cells of the immune system that are central to both innate and adaptive immune responses and serve as the first line of defense against pathogenic insults to tissues. In the tumor microenvironment, tumor-derived factors induce monocyte polarization towards a pro-tumor phenotype. The pro-tumor macrophages regulate key steps in tumorigenicity including tumor growth, angiogenesis, immune suppression, and metastasis. Macrophage infiltration in solid tumors correlates with poor prognosis and resistance to chemotherapy in most cancers. Here in this review, we will shed light on tumor-associated macrophages (TAMs) in regulating tumorigenicity and TAMs as a prognostic biomarker. Also, we will review the recent advances in targeting TAMs to increase the prognosis of cancer patients.