Cancer Therapy Research Articles

A Dual Action Platinum(IV) Complex with Self-assembly Property Inhibits Prostate Cancer through Mitochondrial Stress Pathway.

Platinum(IV) prodrugs are highly promising anticancer agents because they can selectively target tumors and minimize the adverse effects associated with their PtII congeners. In this study, we synthesized dual action PtIV complexes by linking oxoplatin with lithocholic acid. The synthesized compounds, designated as PL-I, PL-II, and PL-III, can spontaneously self-assemble in water, resulting in the formation of spherical shape nanoparticles. Among the developed complexes, PL-III appeared to be the most potent compound against all the tested cancer cell lines, with 10 fold higher cytotoxicity compared to cisplatin in PC3 cells. The complex arrests the cell cycle in the S and G2 phases and induces DNA damage. Additional mechanistic investigations demonstrate that PL-III predominantly localizes within the mitochondria and cytoplasm. Consequently, PL-III disrupts mitochondrial membrane potential, increases ROS production, and perturbs mitochondrial bioenergetics in PC3 cells. The complex induces apoptosis through the mitochondrial pathway by upregulating pro-apoptotic protein expression and downregulating anti-apoptotic protein expression from the BCl-2 protein family. These results demonstrate that higher cellular uptake and reduction of PL-III by biological reductants in PC3 cells resulted in a synergistic effect of lithocholic acid and cisplatin, which can be easily observed due to its unique cytotoxic mechanism. This further underscores the significance of dual-action PtIV complexes in enhancing the efficacy of cancer therapy.

Metformin in Overcoming Enzalutamide Resistance in Castration-Resistant Prostate Cancer.

Androgen deprivation is the standard treatment for prostate cancer (PCa) patients. However, the disease eventually progresses as castration-resistant PCa (CRPC). Enzalutamide, an AR inhibitor, is a typical drug to treating CRPC and due to continuous reliance on the drug, can lead to Enzalutamide-resistance (ENZ-r). This highlights the necessity for developing novel therapeutic targets to combat the gain of resistance. Metformin has been recently investigated for its potential anti-tumorigenic effects in many cancer types. In this study, we used enzalutamide and metformin in combination to explore the possible rescued efficacy of enzalutamide in the treatment of ENZ-r CRPC. We first tested the effects of this combination treatment on cell viability, drug synergy, and cell proliferation in ENZ-r CRPC cell lines. After combination treatment, we observed a decrease in cell proliferation and viability as well as a synergistic effect of both enzalutamide and metformin in vitro Following these results, we sought to explore how combination treatment effected mitochondrial fitness utilizing mitochondrial stress test analysis and mitochondrial membrane potential (MMP) shifts due to metformin's action in inhibiting Complex I of oxidative phosphorylation. We employed 2 different strategies of in vivo testing using 22Rv1 and LuCaP35CR xenograft models. Finally, RNA sequencing revealed a potential link in the downregulation of Ras/MAPK signaling following combination treatment. Significance Statement Increasing evidence suggests that oxidative phosphorylation might play a critical role in the development of resistance to cancer therapy. We showed that targeting oxidative phosphorylation with metformin can enhance the efficacy of enzalutamide in castration-resistant prostate cancer in vitro.

Modulation of Tumor Suppressor Genes by Histone Deacetylase Inhibitors in Cancer Therapy

Histone deacetylase (HDAC) inhibitors have emerged as promising therapeutics for various cancers due to their ability to modulate gene expression profiles and restore normal cellular functions. Among the key targets of HDAC inhibitors are tumor suppressor genes, which play crucial roles in regulating cell cycle progression, apoptosis, and DNA repair. However, despite their therapeutic potential, HDAC inhibitors come with significant drawbacks. These include off-target effects that can lead to unintended alterations in gene expression, toxicity to normal cells, and the development of drug resistance in some cancer patients. Additionally, the non-specific nature of some HDAC inhibitors can result in side effects such as fatigue, gastrointestinal disturbances, and hematological toxicity, limiting their clinical utility. This review provides a comprehensive overview of the impact of HDAC inhibitors on tumor suppressor genes in cancer therapy. We discussed the mechanisms by which HDAC inhibitors regulate the expression of tumor suppressor genes, including p53, p21, BRCA1, PTEN, and others, through histone hyperacetylation and chromatin remodeling. Furthermore, we described the therapeutic implications of HDAC inhibitor-induced modulation of tumor suppressor genes in various cancer types, highlighting the potential for combination therapies and personalized treatment approaches. Understanding the interplay between HDAC inhibitors and tumor suppressor genes is critical for optimizing the efficacy of HDAC inhibitor-based therapies and advancing precision medicine in oncology.

Effect of Degree of Substitution and Molecular Weight on Transfection Efficacy of Starch-Based siRNA Delivery System

RNA interference (RNAi) is a promising approach for gene therapy in cancers, but it requires carriers to protect and deliver therapeutic small interfering RNA (siRNA) molecules to cancerous cells. Starch-based carriers, such as quaternized starch (Q-Starch), have been shown to be biocompatible and are able to form nanocomplexes with siRNA, but significant electrostatic interactions between the carrier and siRNA prevent its release at the target site. In this study, we aim to characterize the effects of the degree of substitution (DS) and molecular weight (Mw) of Q-Starch on the gene silencing capabilities of the Q-Starch/siRNA transfection system. We show that reducing the DS reduces the electrostatic interactions between Q-Starch and siRNA, which now decomplex at more physiologically relevant conditions, but also affects additional parameters such as complex size while mostly maintaining cellular uptake capabilities. Notably, reducing the DS renders Q-Starch more susceptible to enzymatic degradation by α-amylase during the initial Q-Starch pretreatment. Enzymatic cleavage leads to a reduction in the Mw of Q-Starch, resulting in a 25% enhancement in its transfection capabilities. This study provides a better understanding of the effects of the DS and Mw on the polysaccharide-based siRNA delivery system and indicates that the polysaccharide Mw may be the key factor in determining the transfection efficacy of this system.

Biohybrid Micro/Nanorobots: Pioneering the Next Generation of Medical Technology.

Biohybrid micro/nanorobots hold a great potential for advancing biomedical research. These tiny structures, designed to mimic biological organisms, offer a promising method for targeted drug delivery, tissue engineering, biosensing/imaging, and cancer therapy, among other applications. The integration of biology and robotics opens new possibilities for minimally invasive surgeries and personalized healthcare solutions. The key challenges in the development of biohybrid micro/nanorobots include ensuring biocompatibility, addressing manufacturing scalability, enhancing navigation and localization capabilities, maintaining stability in dynamic biological environments, navigating regulatory hurdles, and successfully translating these innovative technologies into clinical applications. Herein, the recent advancements, challenges, and future perspectives related to the biomedical applications of biohybrid micro/nanorobots are described. Indeed, this review sheds light on the cutting-edge developments in this field, providing researchers with an updated overview of the current potential of biohybrid micro/nanorobots in the realm of biomedical applications, and offering insights into their practical applications. Furthermore, it delves into recent advancements in the field of biohybrid micro/nanorobotics, providing a comprehensive analysis of the current state-of-the-art technologies and their future applications in the biomedical field.

Responsive Supramolecular Nanomicelles Formed through Self-Assembly of Acyclic Cucurbit[n]uril for Targeted Drug Delivery to Cancer Cells.

The supramolecular drug delivery systems (SDDSs) based on host-guest recognition through noncovalent interactions, capable of responsive behavior and dynamic switching to external stimuli, have attracted considerable attention in cancer therapy. In this study, a targeted dual-functional drug delivery system was designed and synthesized. A hydrophilic macrocyclic host molecule (acyclic cucurbit[n]uril ACB) was modified with folic acid (FA) as a targeting ligand. The guest molecule consists of a disulfide bond attached to adamantane (DA) and cannabidiol (CBD) at both ends of the response element of glutathione. Recognition and self-assembly of host and guest molecules successfully functionalize supramolecular nanomicelles (SNMs), targeting cancer cells and releasing drugs in a high glutathione environment. The interactions between host and guest molecules were investigated by using nuclear magnetic resonance (NMR), fluorescence titration, Fourier-transform infrared spectroscopy (FT-IR), and thermal analysis (TGA). Transmission electron microscopy (TEM) and dynamic light scattering (DLS) confirmed the nanostructure of the SNMs. Experimentation with 5,5'-dithiobis (2-nitrobenzoic acid) (DTNB) demonstrated the responsiveness of SNMs to glutathione (GSH). In vitro cytotoxicity assays demonstrated that SNMs had a greater targeting efficacy for four types of cancer cells (HeLa, HCT-116, A549, and HepG2) compared to normal 293T cells. Cellular uptake studies revealed that HeLa cells more readily absorbed SNMs, leading to their accumulation in the tumor cell cytoplasm. Fluorescence colocalization assays verified that SNMs efficiently accumulated in organelles related to energy metabolism and signaling, including mitochondria and the endoplasmic reticulum, affecting cellular metabolic death. Both flow cytometry and confocal nuclear staining assays confirmed that SNMs effectively induced apoptosis over time, ultimately resulting in the death of cancer cells. These findings demonstrate that SNMs exhibit excellent targeting ability, responsiveness, high bioavailability, and stability, suggesting significant potential in drug delivery applications.

Mapping multimodal phenotypes to perturbations in cells and tissue with CRISPRmap.

Unlike sequencing-based methods, which require cell lysis, optical pooled genetic screens enable investigation of spatial phenotypes, including cell morphology, protein subcellular localization, cell-cell interactions and tissue organization, in response to targeted CRISPR perturbations. Here we report a multimodal optical pooled CRISPR screening method, which we call CRISPRmap. CRISPRmap combines in situ CRISPR guide-identifying barcode readout with multiplexed immunofluorescence and RNA detection. Barcodes are detected and read out through combinatorial hybridization of DNA oligos, enhancing barcode detection efficiency. CRISPRmap enables in situ barcode readout in cell types and contexts that were elusive to conventional optical pooled screening, including cultured primary cells, embryonic stem cells, induced pluripotent stem cells, derived neurons and in vivo cells in a tissue context. We conducted a screen in a breast cancer cell line of the effects of DNA damage repair gene variants on cellular responses to commonly used cancer therapies, and we show that optical phenotyping pinpoints likely pathogenic patient-derived mutations that were previously classified as variants of unknown clinical significance.

Mitochondria in tumor immune surveillance and tumor therapies targeting mitochondria.

Mitochondria play a central role in cellular energy production and metabolic regulation, and their function has been identified as a key factor influencing tumor immune responses. This review provides a comprehensive overview of the latest advancements in understanding the role of mitochondria in tumor immune surveillance, covering both innate and adaptive immune responses. Specifically, it outlines how mitochondria influence the function of the tumor immune system, underscoring their crucial role in modulating immune cell behavior to either promote or inhibit tumor development and progression. Additionally, this review highlights emerging drug interventions targeting mitochondria, including novel small molecules with significant potential in cancer therapy. Through an in-depth analysis, it explores how these innovative strategies could improve the efficacy and outlook of tumor treatment.

Unraveling TRPV1’s Role in Cancer: Expression, Modulation, and Therapeutic Opportunities with Capsaicin

Cancer is a global health challenge with rising incidence and mortality rates, posing significant concerns. The World Health Organization reports cancer as a leading cause of death worldwide, contributing to nearly one in six deaths. Cancer pathogenesis involves disruptions in cellular signaling pathways, resulting in uncontrolled cell growth and metastasis. Among emerging players in cancer biology, Transient Receptor Potential (TRP) channels, notably TRPV1, have garnered attention due to their altered expression in cancer cells and roles in tumorigenesis and progression. TRPV1, also known as the capsaicin receptor, is pivotal in cancer cell death and pain mediation, offering promise as a therapeutic target. Activation of TRPV1 triggers calcium influx and affects cell signaling linked to growth and death. Additionally, TRPV1 is implicated in cancer-induced pain and chemo-sensitivity, with upregulation observed in sensory neurons innervating oral cancers. Also, when capsaicin, a compound from chili peppers, interacts with TRPV1, it elicits a “hot” sensation and influences cancer processes through calcium influx. Understanding TRPV1’s multifaceted roles in cancer may lead to novel therapeutic strategies for managing cancer-related symptoms and improving patient outcomes. The current review elucidates the comprehensive role of capsaicin in cancer therapy, particularly through the TRPV1 channel, highlighting its effects in various cells via different signaling pathways and discussing its limitations.

Invisible Bridges: Unveiling the Role and Prospects of Tunneling Nanotubes in Cancer Therapy.

Tunneling nanotubes (TNTs) are essential intercellular communication channels that significantly impact cancer pathophysiology, affecting tumor progression and resistance. This review methodically examines the mechanisms of TNTs formation, their structural characteristics, and their functional roles in material and signal transmission between cells. Highlighting their regulatory functions within the tumor microenvironment, TNTs are crucial for modulating cell survival, proliferation, drug resistance, and immune evasion. The review critically evaluates the therapeutic potential of TNTs, focusing on their applications in targeted drug delivery and gene therapy. It also proposes future research directions to thoroughly understand TNTs biogenesis, identify cell-specific molecular targets, and develop advanced technologies for the real-time monitoring of TNTs. By integrating insights from molecular biology, nanotechnology, and immunology, this review highlights the transformative potential of TNTs in advancing cancer treatment strategies.

Molecular insights and inhibitory dynamics of flavonoids in targeting Pim-1 kinase for cancer therapy

Pim-1 kinase, a serine/threonine kinase, is often overexpressed in various cancers, contributing to disease progression and poor prognosis. In this study, we explored the potential of flavonoids as inhibitors of Pim-1 kinase using a combination of molecular docking and steered molecular dynamics (SMD) simulations. Our docking studies revealed two main binding orientations for the flavonoid molecules. The SMD simulations showed that the binding mode with higher pulling forces was linked to stronger inhibitory activity, with a strong positive correlation (R2 ≈ 0.92) between pulling forces and IC50 values. Quercetin stood out as the most potent inhibitor, showing a pulling force of about 820 pN and an IC_(5) 0 of less than 6 µM. Further dynamic simulations indicated that quercetin’s hydroxyl groups at the C3, C-5 and C-7 positions formed stable hydrogen bonds with key residues GLU-121, Leu-44 and Val-126, respectively enhancing its binding stability and effectiveness. Our results emphasized the critical role of the hydroxyl group at the C-3 position, which plays a pivotal function in effectively anchoring these molecules in the active site of Pim-1 kinase. Principal component analysis (PCA) of Pim-1 kinase’s conformational changes revealed that potent inhibitors like quercetin, galangin, and kaempferol significantly restricted the enzyme’s flexibility, suggesting potential inhibitory effect. These findings provide insights into the structural interactions between flavonoids and Pim-1 kinase, offering a foundation for future experimental investigations. However, further studies, including in vitro and in vivo validation, are necessary to assess the pharmacological relevance and specificity of flavonoids in cancer therapy.

Alternative splicing of PBRM1 mediates resistance to PD-1 blockade therapy in renal cancer.

Alternative pre-mRNA splicing (AS) is a biological process that results in proteomic diversity. However, implications of AS alterations in cancer remain poorly understood. Herein, we performed a comprehensive AS analysis in cancer driver gene transcripts across fifteen cancer types and found global alterations in inclusion rates of the PBAF SWI/SNF chromatin remodeling complex subunit Polybromo 1 (PBRM1) exon 27 (E27) in most types of cancer tissues compared with those in normal tissues. Further analysis confirmed that PBRM1 E27 is excluded by the direct binding of RBFOX2 to intronic UGCAUG elements. In addition, the E27-included PBRM1 isoform upregulated PD-L1 expression via enhanced PBAF complex recruitment to the PD-L1 promoter. PBRM1wild-type patients with clear cell renal cell carcinoma were resistant to PD-1 blockade therapy when they expressed low RBFOX2 mRNA levels. Overall, our study suggests targeting of RBFOX2-mediated AS of PBRM1 as a potential therapeutic strategy for immune checkpoint blockade.

Engineered microparticles modulate arginine metabolism to repolarize tumor-associated macrophages for refractory colorectal cancer treatment

BackgroundArginase is abundantly expressed in colorectal cancer and disrupts arginine metabolism, promoting the formation of an immunosuppressive tumor microenvironment. This significant factor contributes to the insensitivity of colorectal cancer to immunotherapy. Tumor-associated macrophages (TAMs) are major immune cells in this environment, and aberrant arginine metabolism in tumor tissues induces TAM polarization toward M2-like macrophages. The natural compound piceatannol 3ʹ-O-glucoside inhibits arginase activity and activates nitric oxide synthase, thereby reducing M2-like macrophages while promoting M1-like macrophage polarization.MethodsThe natural compounds piceatannol 3ʹ-O-glucoside and indocyanine green were encapsulated within microparticles derived from tumor cells, termed PG/ICG@MPs. The enhanced cancer therapeutic effect of PG/ICG@MP was assessed both in vitro and in vivo.ResultsPG/ICG@MP precisely targets the tumor site, with piceatannol 3ʹ-O-glucoside concurrently inhibiting arginase activity and activating nitric oxide synthase. This process promotes increased endogenous nitric oxide production through arginine metabolism. The combined actions of nitric oxide and piceatannol 3ʹ-O-glucoside facilitate the repolarization of tumor-associated macrophages toward the M1 phenotype. Furthermore, the increase in endogenous nitric oxide levels, in conjunction with the photodynamic effect induced by indocyanine green, increases the quantity of reactive oxygen species. This dual effect not only enhances tumor immunity but also exerts remarkable inhibitory effects on tumors.ConclusionOur research results demonstrate the excellent tumor-targeting effect of PG/ICG@MPs. By modulating arginine metabolism to improve the tumor immune microenvironment, we provide an effective approach with clinical translational significance for combined cancer therapy.

Senescent cells promote breast cancer cells motility by secreting GM-CSF and bFGF that activate the JNK signaling pathway

BackgroundCellular senescence can be induced in mammalian tissues by multiple stimuli, including aging, oncogene activation and loss of tumor suppressor genes, and various types of stresses. While senescence is a tumor suppressing mechanism when induced within premalignant or malignant tumor cells, senescent cells can promote cancer development through increased secretion of growth factors, cytokines, chemokines, extracellular matrix, and degradative enzymes, collectively known as senescence-associated secretory phenotype (SASP). Previous studies indicated that senescent cells, through SASP factors, stimulate tumor cell invasion that is a critical step in cancer cell metastasis.MethodsIn the current study, we investigated the effect of senescent cells on the motility of breast cancer cells, which is another key step in cancer cell metastasis. We analyzed the motility of breast cancer cells co-cultured with senescent cells in vitro and metastasis of the breast cancer cells co-injected with senescent cells in orthotopic xenograft models. We also delineated the signaling pathway mediating the effect of senescent cells on cancer cell motility.ResultsOur results indicate that senescent cells stimulated the migration of breast cancer cells through secretion of GM-CSF and bFGF, which in turn induced activation of the JNK pathway in cancer cells. More importantly, senescent cells promoted breast cancer metastasis, with a minimum effect on the primary tumor growth, in orthotopic xenograft mouse models.ConclusionsThese results have revealed an additional mechanism by which senescent cells promote tumor cell metastasis and tumor progression, and will potentially lead to identification of novel targets for cancer therapies that suppress metastasis, the major cause of cancer mortality.

An immunostimulatory liponanogel reveals immune activation-enhanced drug delivery and therapeutic efficacy in cancer

The clinical use of immunostimulatory polyinosinic:polycytidylic acid (pIC) for cancer therapy has been notably limited by its low tumor accumulation and poor cytosolic delivery to activate innate immune sensors. Here, we report a liponanogel (LNG)-based platform to address these challenges. The immunostimulatory LNG consists of an ionizable lipid shell coating a nanogel made of hyaluronic acid (HA), Mn2+ and pIC, which is denoted as LNG-Mn-pIC (LMP). The protonation of internal HA within acidic endosomes increases the endosomal membrane permeability and facilitates the cytosolic delivery of pIC. Moreover, Mn2+, previously reported to activate the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway, synergizes with pIC to activate innate immune cells. Remarkably, intravenously injected LMP significantly induces tumor vasculature disruption and tumor cell apoptosis in an innate immune activation-dependent manner, facilitating the LMP delivery into tumors and leading to enhanced antitumor immunity that potently inhibits or even completely regresses the established tumors. In summary, this immunostimulatory LNG platform not only serves as a useful tool to uncover the immune activation-enhanced drug delivery profile but also represents a broadly applicable platform for effective cancer immunotherapy.

Harnessing the power of AI in precision medicine: NGS-based therapeutic insights for colorectal cancer cohort

PurposeDeveloping innovative precision and personalized cancer therapeutics is essential to enhance cancer survivability, particularly for prevalent cancer types such as colorectal cancer. This study aims to demonstrate various approaches for discovering new targets for precision therapies using artificial intelligence (AI) on a Polish cohort of colorectal cancer patients. MethodsWe analyzed 71 patients with histopathologically confirmed advanced resectional colorectal adenocarcinoma. Whole exome sequencing was performed on tumor and peripheral blood samples, while RNA sequencing (RNAseq) was conducted on tumor samples. We employed three approaches to identify potential targets for personalized and precision therapies. First, using our in-house neoantigen calling pipeline, ARDentify, combined with an AI-based model trained on immunopeptidomics mass spectrometry data (ARDisplay), we identified neoepitopes in the cohort. Second, based on recurrent mutations found in our patient cohort, we selected corresponding cancer cell lines and utilized knock-out gene dependency scores to identify synthetic lethality genes. Third, an AI-based model trained on cancer cell line data was employed to identify cell lines with genomic profiles similar to selected patients. Copy number variants and recurrent single nucleotide variants in these cell lines, along with gene dependency data, were used to find personalized synthetic lethality pairs. ResultsWe identified approximately 8,700 unique neoepitopes, but none were shared by more than two patients, indicating limited potential for shared neoantigenic targets across our cohort. Additionally, we identified three synthetic lethality pairs: the well-known APC-CTNNB1 and BRAF-DUSP4 pairs, along with the recently described APC-TCF7L2 pair, which could be significant for patients with APC and BRAF variants. Furthermore, by leveraging the identification of similar cancer cell lines, we uncovered a potential gene pair, VPS4A and VPS4B, with therapeutic implications. ConclusionOur study highlights three distinct approaches for identifying potential therapeutic targets in cancer patients. Each approach yielded valuable insights into our cohort, underscoring the relevance and utility of these methodologies in the development of precision and personalized cancer therapies. Importantly, we developed a novel AI model that aligns tumors with representative cell lines using RNAseq and methylation data. This model enables us to identify cell lines closely resembling patient tumors, facilitating accurate selection of models needed for in vitro validation.

Recent advances in cancer detection using dynamic, stimuli-responsive supramolecular chemosensors. a focus review

In current chemistry, supramolecular materials that respond to a wide variety of external stimuli, such as solvents, temperature, light excitation, pH, and mechanical forces (pressure, stress, strain, and tension), have attracted considerable attention; for example, we have developed cyclodextrins, cucurbiturils, pillararenes, calixarenes, crown ether-based chemical sensors, or chemosensors. These supramolecular chemosensors have potential applications in imaging, probing, and cancer detection. Recently, we focused on pressure, particularly solution-state hydrostatic pressure, from the viewpoint of cancer therapy. This Mini Review summarizes (i) why hydrostatic pressure is important, particularly in biology, and (ii) what we can do using hydrostatic pressure stimulation.

Envisioning Glucose Transporters (GLUTs and SGLTs) as Novel Intervention against Cancer: Drug Discovery Perspective and Targeting Approach.

Metabolic reprogramming and altered cellular energetics have been recently established as an important cancer hallmark. The modulation of glucose metabolism is one of the important characteristic features of metabolic reprogramming in cancer. It contributes to oncogenic progression by supporting the increased biosynthetic and bio-energetic demands of tumor cells. This oncogenic transformation consequently results in elevated expression of glucose transporters in these cells. Moreover, various cancers exhibit abnormal transporter expression patterns compared to normal tissues. Recent investigations have underlined the significance of glucose transporters in regulating cancer cell survival, proliferation, and metastasis. Abnormal regulation of these transporters, which exhibit varying affinities for hexoses, could enable cancer cells to efficiently manage their energy supply, offering a crucial edge for proliferation. Exploiting the upregulated expression of glucose transporters, GLUTs, and Sodium Linked Glucose Transporters (SGLTs), could serve as a novel therapeutic intervention for anti-cancer drug discovery as well as provide a unique targeting approach for drug delivery to specific tumor tissues. This review aims to discussthe previous and emerging research on the expression of various types of glucose transporters in tumor tissues, the role of glucose transport inhibitors as a cancer therapy intervention as well as emerging GLUT/SGLT-mediated drug delivery strategies that can be therapeutically employed to target various cancers.

Self-supervised hybrid neural network to achieve quantitative bioluminescence tomography for cancer research

Bioluminescence tomography (BLT) improves upon commonly-used 2D bioluminescence imaging by reconstructing 3D distributions of bioluminescence activity within biological tissue, allowing tumor localization and volume estimation—critical for cancer therapy development. Conventional model-based BLT is computationally challenging due to the ill-posed nature of the problem and data noise. We introduce a self-supervised hybrid neural network (SHyNN) that integrates the strengths of both conventional model-based methods and machine learning (ML) techniques to address these challenges. The network structure and converging path of SHyNN are designed to mitigate the effects of ill-posedness for achieving accurate and robust solutions. Through simulated and in vivo data on different disease sites, it is demonstrated to outperform the conventional reconstruction approach, particularly under high noise, in tumor localization, volume estimation, and multi-tumor differentiation, highlighting the potential towards quantitative BLT for cancer research.

Advances in Cancer Therapy: A Comprehensive Review of CDK and EGFR Inhibitors

Protein kinases have essential responsibilities in controlling several cellular processes, and their abnormal regulation is strongly related to the development of cancer. The implementation of protein kinase inhibitors has significantly transformed cancer therapy by modifying treatment strategies. These inhibitors have received substantial FDA clearance in recent decades. Protein kinases have emerged as primary objectives for therapeutic interventions, particularly in the context of cancer treatment. At present, 69 therapeutics have been approved by the FDA that target approximately 24 protein kinases, which are specifically prescribed for the treatment of neoplastic illnesses. These novel agents specifically inhibit certain protein kinases, such as receptor protein-tyrosine kinases, protein-serine/threonine kinases, dual-specificity kinases, nonreceptor protein-tyrosine kinases, and receptor protein-tyrosine kinases. This review presents a comprehensive overview of novel targets of kinase inhibitors, with a specific focus on cyclin-dependent kinases (CDKs) and epidermal growth factor receptor (EGFR). The majority of the reviewed studies commenced with an assessment of cancer cell lines and concluded with a comprehensive biological evaluation of individual kinase targets. The reviewed articles provide detailed information on the structural features of potent anticancer agents and their specific activity, which refers to their ability to selectively inhibit cancer-promoting kinases including CDKs and EGFR. Additionally, the latest FDA-approved anticancer agents targeting these enzymes were highlighted accordingly.