Globally, lung cancer is the most prevalent cause of cancer-related death. There are two large histological groups of lung cancer: small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC). Based on histopathological and molecular features, adenocarcinoma (ADC) and squamous cell carcinoma (SCC) are the two major histologic subtypes of NSCLC. Various epidemiological and environmental factors are linked with an increased risk of lung cancer. However, these risk factors show disparities in patients with divergent racial and ethnic backgrounds. Interestingly, different populations were found to harbor distinct molecular features as evidenced by variations in genetic mutation profiles. Moreover, diverse histological and molecular progression patterns are identified in lung cancer, which could be crucial in improving diagnosis, prognosis, and therapeutic planning. In concert with a plethora of nuclear genetic alterations, mitochondrial alteration, epigenetic reprogramming, microbial dysbiosis, and immune alteration signatures have been identified in various lung cancer types. This review article provides a comprehensive overview of screening tests and the treatment strategies for NSCLC and SCLC, including surgery, radiation therapy, chemotherapy, targeted therapies, and immunotherapies. Through the unification of these diverse aspects, this review article aspires to a complete understanding of lung cancer’s genomics, biology, microbial landscapes, and racial disparity and seeks to understand the essential role of racial and ethnic factors in lung cancer occurrence and treatment.

Breast cancer is a significant health challenge worldwide and is the most frequently diagnosed cancer among women globally. This review provides a comprehensive overview of breast cancer biology, genomics, and microbial dysbiosis, focusing on its various subtypes and racial differences. Breast cancer is primarily classified into carcinomas and sarcomas, with carcinomas constituting most cases. Epidemiology and breast cancer risk factors are important for public health intervention. Staging and grading, based on the TNM and Nottingham grading systems, respectively, are crucial to determining the clinical outcome and treatment decisions. Histopathological subtypes include in situ and invasive carcinomas, such as invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC). The review explores molecular subtypes, including Luminal A, Luminal B, Basal-like (Triple Negative), and HER2-enriched, and delves into breast cancer’s histological and molecular progression patterns. Recent research findings related to nuclear and mitochondrial genetic alterations, epigenetic reprogramming, and the role of microbiome dysbiosis in breast cancer and racial differences are also reported. The review also provides an update on breast cancer’s current diagnostics and treatment modalities.

The aggressive nature of certain cancers and their adverse effects on patient outcomes have been linked to cancer innervation, where neurons infiltrate and differentiate within the cancer stroma. Recently we demonstrated how cancer plasticity and TGFβ signaling could promote breast cancer innervation that is associated with increased cancer aggressivity. Despite the promising potential of cancer innervation as a target for anti-cancer therapies, there is currently a significant lack of effective methods to study cancer-induced neuronal differentiation, hindering the development of high-throughput approaches for identifying new targets or pharmacological inhibitors against cancer innervation. To overcome this challenge, we used CRISPR-based endogenous labeling of the neuronal marker β3-tubulin in neuronal precursors to investigate cancer-induced neuronal differentiation in nerve-cancer cocultures and provide a tool that allows for better standardization and reproducibility of studies about cancer-induced innervation. Our approach demonstrated that β3-tubulin gene editing did not affect neuronal behavior and enabled accurate reporting of cancer-induced neuronal differentiation dynamics in high-throughput settings, which makes this approach suitable for screening large cohorts of cells or testing various biological contexts. In a more context-based approach, by combining this method with a cell model of breast cancer epithelial-mesenchymal transition, we revealed the role of cancer cell plasticity in promoting neuronal differentiation, suggesting that cancer innervation represents an underexplored path for epithelial-mesenchymal transition-mediated cancer aggressivity.