Trends in cancer最新文献

Cancer dormancy is a phenomenon defined by the entry of cancer cells into a reversible quiescent, nonproliferative state, and represents an essential part of the metastatic cascade responsible for cancer recurrence and mortality. Emerging evidence suggests that metabolic reprogramming plays a pivotal role in enabling entry, maintenance, and exit from dormancy in the face of the different environments of the metastatic cascade. Here, we review the current literature to understand the dynamics of metabolism during dormancy, highlighting its fine-tuning by the host micro- and macroenvironment, and put forward the importance of identifying metabolic vulnerabilities of the dormant state as therapeutic targets to eradicate recurrent disease.

Artificial intelligence (AI) is enabling us to delve deeply into the information inherent in a mammogram and identify novel features associated with high risk of a future breast cancer diagnosis. Here, we discuss how AI is improving mammographic density-associated risk prediction and shaping the future of screening and risk-reducing strategies.

Cancer stem cells (CSCs) are a poorly differentiated population of malignant cells that (at least in some neoplasms) is responsible for tumor progression, resistance to therapy, and disease relapse. According to a widely accepted model, all stages of cancer progression involve the ability of neoplastic cells to evade recognition or elimination by the host immune system. In line with this notion, CSCs are not only able to cope with environmental and therapy-elicited stress better than their more differentiated counterparts but also appear to better evade tumor-targeting immune responses. We summarize epigenetic modifications of DNA and histones through which CSCs evade immune recognition or elimination, and propose that such alterations constitute promising therapeutic targets to increase the sensitivity of some malignancies to immunotherapy.

Dynamic alterations in cellular phenotypes during cancer progression are attributed to a phenomenon known as 'lineage plasticity'. This process is associated with therapeutic resistance and involves concurrent shifts in metabolic states that facilitate adaptation to various stressors inherent in malignant growth. Certain metabolites also serve as synthetic reservoirs for chromatin modification, thus linking metabolic states with epigenetic regulation. There remains a critical need to understand the mechanisms that converge on lineage plasticity and metabolic reprogramming to prevent the emergence of lethal disease. This review attempts to offer an overview of our current understanding of the interplay between metabolic reprogramming and lineage plasticity in the context of cancer, highlighting the intersecting drivers of cancer hallmarks, with an emphasis on solid tumors.

Molecular imaging of cancer is a collaborative endeavor, uniting scientists and physicians from diverse fields. Such collaboration is actively developing and translating cutting-edge molecular imaging approaches to enhance the diagnostic landscape of human malignancies. The advent of positron emission tomography (PET) and PET imaging tracers has realized non-invasive target annotation and tumor characterization at the molecular level. In surgical procedures, novel imaging techniques, such as fluorescence or Cherenkov luminescence, help identify tumors and enhance surgical precision. Simultaneously, progress in imaging equipment, innovative algorithms, and artificial intelligence has opened avenues for next-generation cancer screening and imaging, augmenting the efficiency and accuracy of cancer diagnosis. In this review, we provide a panorama of molecular cancer imaging and ongoing developments in the field.

The impact of tumor-infiltrating B cells on breast cancer (BRCA) outcomes remains poorly understood. Recent findings from Yang et al. identify an atypical, clonally expanded population of activated Fc receptor-like 4 (FCRL4)⁺ B cells that is associated with improved overall survival in patients affected by various tumor types, including BRCA.

The classic cancer hallmark, inducing angiogenesis, was born out of the long-held notion that tumours could grow only if new vessels were formed. The attempts, based on this premise, to therapeutically restrain angiogenesis in hopes of controlling tumour growth have been less effective than expected. This is partly because primary and metastatic tumours can grow without angiogenesis. The discovery of nonangiogenic cancers and the mechanisms they use to exploit normal vessels, called 'vessel co-option,' has opened a new field in cancer biology. Consequently, the cancer hallmark, 'inducing angiogenesis,' has been modified to 'inducing or accessing vasculature.'

New findings by Watson et al. demonstrate that therapy-induced inflammation and fibrosis potentiate glioblastoma recurrence. Post-treatment fibrotic niches shielded surviving tumor cells from immune surveillance, supported their persistence in a dormant state, and enabled rebound growth. Timely inhibition of inflammation and scarring attenuated recurrence, encouraging the use of new combinatorial approaches in glioblastoma therapy.

Gene expression regulation in hypoxic tumor microenvironments is mediated by O₂ responsive transcription factors (O₂R-TFs), fine-tuning cancer cell metabolic demand for O₂ according to its availability. Here, we discuss key O₂R-TFs and emerging artificial intelligence (AI)-based applications suitable for the interrogation of O₂R-TF relationships specifying cancer cell metabolic adaptations to hypoxia.

Anti-programmed cell death protein 1 (PD-1)/PD-1 ligand 1 (PD-L1) immunotherapy has shown promising results in cancer treatment, improving clinical outcomes and prolonging patient survival. However, most patients exhibit low response rates to PD-1/PD-L1 blockade, highlighting the urgent need for new enhancers. Increasing data now demonstrate that inhibiting proprotein convertase subtilisin/kexin type 9 (PCSK9), a serine proteinase, can enhance the antitumor efficacy of anti-PD-1/PD-L1 immunotherapy.