The tumour microenvironment is a complex ecosystem comprising tumour cells, and cancer stem cells, and support cells that facilitate cancer growth and escape from treatment. Cancer immunotherapy focuses on immunological pathways such as PD-1/PD-L1 and CTLA-4 to target cancer stem cells via immune cells. Small molecules, immune checkpoint inhibitors, are employed to impede tumour growth by targeting cellular mediators in the cell cycle and tumour microenvironment. Long non-coding RNAs (lncRNAs) affect the growth, development, motility, and differentiation of cancer cells by regulating gene expression and are therefore considered important biomarkers. Small molecules demonstrate their effects on gene expression and behaviour of cancer cells by inducing lncRNAs. This relationship between lncRNAs and small molecules is of great importance in terms of their impact on cancer and the tumour microenvironment. The evaluation of this communication in clinical trials is of critical importance for the development of therapeutic strategies. This review provides a detailed description of the role of lncRNAs and small molecules in the tumour microenvironment and their relationship with cancer stem cells. Thus, the potential of controlling lncRNAs and using anti-cancer small molecules in TME to improve the efficacy of cancer therapy was evaluated.

Cellular death evasion is a defining characteristic of human malignancies and a significant contributor to therapeutic inefficacy. As a result of oncogenic inhibition of cell death mechanisms, established therapeutic regimens seems to be ineffective. Mitochondria serve as the cellular powerhouses, but they also function as repositories of self-destructive weaponry. Changes in the structure and activities of mitochondria have been consistently documented in cancer cells. In recent years, there has been an increasing focus on using mitochondria as a targeted approach for treating cancer. Considerable attention has been devoted to the development of delivery systems that selectively aim to deliver small molecules called \"mitocans\" to mitochondria, with the ultimate goal of modulating the physiology of cancer cells. This review summarizes the rationale and mechanism of mitochondrial targeting with small molecules in the treatment of cancer, and their impact on the mitochondria. This paper provides a concise overview of the reasoning and mechanism behind directing treatment towards mitochondria in cancer therapy, with a particular focus on targeting using small molecules. This review also examines diverse small molecule types within each category as potential therapeutic agents for cancer.

Cancer is a disease that affects people of all ages, socioeconomic backgrounds, genders, and demographics. It places a significant burden not just on those who are diagnosed but also on their families and communities. Targeted therapeutic medications have surpassed more conventional forms of chemotherapy in terms of both their effectiveness and safety, which leads to their rapid ascent to the forefront of cancer treatment. A growing number of small molecules have been created for the treatment of cancer, and several of these drugs have been approved to be sold in the market by the Food and Drug Administration of the United States. Small molecule targeted anticancer therapies have made significant progress in recent years, yet they continue to struggle with a number of obstacles, including a low response rate and drug resistance. We have carried out an exhaustive study on approved small-molecule targeted anticancer medications, as well as important drug candidates. This review describes the significance of approved anticancer drugs from 2021 to 2024, clinically active anticancer drugs, and the methods used for their synthesis.

As a heterogeneous disease, breast cancer (BC) has been characterized by the uncontrolled proliferation of mammary epithelial cells. The tumor microenvironment (TME) also contains inflammatory cells, fibroblasts, the extracellular matrix (ECM), and soluble factors that all promote BC progression. In this sense, the macrophage migration inhibitory factor (MIF), a pleiotropic pro-inflammatory cytokine and an upstream regulator of the immune response, enhances breast tumorigenesis through escalating cancer cell proliferation, survival, angiogenesis, invasion, metastasis, and stemness, which then brings tumorigenic effects by activating key oncogenic signaling pathways and inducing immunosuppression. Against this background, this review was to summarize the current understanding of the MIF pathogenic mechanisms in cancer, particularly BC, and address the central role of this immunoregulatory cytokine in signaling pathways and breast tumorigenesis. Furthermore, different inhibitors, such as small molecules as well as antibodies (Abs) or small interfering RNA (siRNA) and their anti-tumor effects in BC studies were examined. Small molecules and other therapy target MIF. Considering MIF as a promising therapeutic target, further clinical evaluation of MIF-targeted agents in patients with BC was warranted.

Targeting cancer-specific vulnerabilities through synthetic lethality (SL) is an emerging paradigm in precision oncology. A SL strategy based on PARP inhibitors has demonstrated clinical efficacy. Advances in DNA damage response (DDR) uncover novel SL gene pairs. Beyond BRCA-PARP, emerging SL targets like ATR, ATM, DNA-PK, CHK1, WEE1, CDK12, RAD51, and RAD52 show clinical promise. Selective and bioavailable small molecule inhibitors have been developed to induce SL, but optimization for potency, specificity, and drug-like properties remains challenging. This article illuminated recent progress in the field of medicinal chemistry centered on the rational design of agents capable of eliciting SL specifically in neoplastic cells. It is envisioned that innovative strategies harnessing SL for small molecule design may unlock novel prospects for targeted cancer therapeutics going forward.

RNA plays important roles in regulating both health and disease biology in all kingdoms of life. Notably, RNA can form intricate three-dimensional structures, and their biological functions are dependent on these structures. Targeting the structured regions of RNA with small molecules has gained increasing attention over the past decade, because it provides both chemical probes to study fundamental biology processes and lead medicines for diseases with unmet medical needs. Recent advances in RNA structure prediction and determination and RNA biology have accelerated the rational design and development of RNA-targeted small molecules to modulate disease pathology. However, challenges remain in advancing RNA-targeted small molecules towards clinical applications. This review summarizes strategies to study RNA structures, to identify small molecules recognizing these structures, and to augment the functionality of RNA-binding small molecules. We focus on recent advances in developing RNA-targeted small molecules as potential therapeutics in a variety of diseases, encompassing different modes of actions and targeting strategies. Furthermore, we present the current gaps between early-stage discovery of RNA-binding small molecules and their clinical applications, as well as a roadmap to overcome these challenges in the near future.

Computational methods are playing an increasingly important role as a complement to conventional data evaluation methods in analytical chemistry, and particularly mass spectrometry. Computational mass spectrometry (CompMS) is the application of computational methods on mass spectrometry data. Herein, advances in CompMS for small molecule chemistry are discussed in the areas of spectral libraries, spectrum prediction, and tentative structure identification (annotation): Automatic spectrum curation is facilitating the expansion of openly available spectral libraries, a crucial resource both for compound annotation directly and as a resource for machine learning algorithms. Spectrum prediction and molecular fingerprint prediction have emerged as two key approaches to compound annotation. For both, multiple methods based on classical machine learning and deep learning have been developed. Driven by advances in deep learning-based generative chemistry, de novo structure generation from fragment spectra is emerging as a new field of research. This review highlights key publications in these fields, including our approaches RMassBank (automatic spectrum curation) and MSNovelist (de novo structure generation).

Using high-resolution 3D printing, a novel class of microneedle array patches (MAPs) is introduced, called latticed MAPs (L-MAPs). Unlike most MAPs which are composed of either solid structures or hollow needles, L-MAPs incorporate tapered struts that form hollow cells capable of trapping liquid droplets. The lattice structures can also be coated with traditional viscous coating formulations, enabling both liquid- and solid-state cargo delivery, on a single patch. Here, a library of 43 L-MAP designs is generated and in-silico modeling is used to down-select optimal geometries for further characterization. Compared to traditionally molded and solid-coated MAPs, L-MAPs can load more cargo with fewer needles per patch, enhancing cargo loading and drug delivery capabilities. Further, L-MAP cargo release kinetics into the skin can be tuned based on formulation and needle geometry. In this work, the utility of L-MAPs as a platform is demonstrated for the delivery of small molecules, mRNA lipid nanoparticles, and solid-state ovalbumin protein. In addition, the production of programmable L-MAPs is demonstrated with tunable cargo release profiles, enabled by combining needle geometries on a single patch.

OBJECTIVE: This study aims to develop a novel serum-free culture strategy containing only two small molecules, Y27632 and SB431542 (2C), for in vitro expansion of mouse lacrimal gland epithelial cells (LGECs) and investigate an innovative therapeutic approach for lacrimal gland (LG) injury.
METHODS: LGECs proliferative capacity was assessed by cell counting, crystal violet staining, qRT-PCR and immunofluorescence. Cell differentiation was achieved by manipulating culture conditions and assessed by qRT-PCR and AQP5 immunofluorescence. LGECs were seeded in Matrigel for three-dimensional culture and assessed by qRT-PCR and immunofluorescence. Secretory function of the cultures was assayed by ELISA. In vivo, 2C injection verified its reparative capacity in a mouse LG injury model. Corneal fluorescein staining, phenol red cotton thread, H&E, immunofluorescence and Western blot were used to assess LG injury repair.
RESULTS: LGECs cultured with 2C exhibited high expression of stemness/proliferation markers and maintained morphology and proliferative capacity even after the tenth passage. Removal of 2C was efficacious in achieving LGECs differentiation, characterized by the increased AQP5 expression and LTF secretion. 3D spheroids cultured with 2C demonstrated differentiation potential, forming microglandular structures containing multiple LG cell types with secretory functions after 2C removal. In vivo, 2C improved the structural integrity and function of the injured LG.
CONCLUSIONS: We present a small molecule combination, 2C, that promotes LGECs expansion and differentiation in vitro and accelerates LG injury repair in vivo. This approach has potential applications for providing a stable source of seed cells for tissue engineering applications, providing new sights for LG-related diseases treatment.

Inflammatory bowel disease (IBD) is a chronic, lifelong disorder characterized by inflammation of the gastrointestinal (GI) tract. The exact etiology of IBD remains incompletely understood due to its multifaceted nature, which includes genetic predisposition, environmental factors, and host immune response dysfunction. Currently, there is no cure for IBD. This review discusses the available treatment options and the challenges they present. Importantly, we examine emerging therapeutics, such as biologics and immunomodulators, that offer targeted treatment strategies for IBD. While many IBD patients do not respond adequately to most biologics, recent clinical trials combining biologics with small-molecule drugs (SMDs) have provided new insights into improving the IBD treatment landscape. Furthermore, numerous novel and specific therapeutic targets have been identified. The high cost of IBD drugs poses a significant barrier to treatment, but this challenge may be alleviated with the development of more affordable biosimilars. Additionally, emerging point-of-care protein biomarkers from serum and plasma are showing potential for enhancing the precision of IBD diagnosis and prognosis. Several natural products (NPs), including crude extracts, small molecules, and peptides, have demonstrated promising anti-inflammatory activity in high-throughput screening (HTS) systems and advanced artificial intelligence (AI)-assisted platforms, such as molecular docking and ADMET prediction. These platforms are advancing the search for alternative IBD therapies derived from natural sources, potentially leading to more affordable and safer treatment options with fewer side effects.