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T cells engineered to express chimeric antigen receptors (CARs) are a promising modality to treat refractory cancers. CD19 CAR-T therapy has achieved remarkable responses in against B-cell lymphomas, however, challenges persist for acute myeloid leukemia (AML) and solid malignancies. B7H3 is an immune regulatory molecule that is highly expressed in various tumor cells. Its abnormal expression in acute AML and esophageal squamous cell carcinoma (ESCC) is closely related to tumor progression.
Epidermal Growth Factor Receptor (EGFR) plays a critical role in the development of several cancers. Thus, modulation/inhibition of EGFR activity is an appealing target of developing novel cancer therapeutics.
A range of microbiota species correlate with improved cancer outcomes in patients and confer protection in pre-clinical mouse models. Here, we examined how microbiota regulate CD8+ T cell immunity against melanoma. Spontaneous control of cutaneous melanoma in mice correlated with metabolic pathways required for microbial synthesis of short-chain fatty acids (SCFAs) shared between several microbiota species.
Monoclonal antibodies are revolutionizing the landscape of current cancer treatment, bringing hope to patients with incurable cancers. B7-H3 (CD276) is an attractive therapeutic target for antibody-based therapy due to its low or absent expression in normal tissues and high expression in various types of tumors, including prostate cancer, pancreatic cancer, and high-mortality esophageal squamous cell carcinoma (ESCC). In recent years, various B7-H3-targeting antibodies have been developed for cancer treatment, with a few making their way to clinical trials.
To describe the perspectives of Aboriginal and Torres Strait Islander peoples and health care workers on genomics in cancer care to inform the National Framework for Genomics in Cancer Control (the Framework).
Glioblastoma, a lethal high-grade glioma, has not seen improvements in clinical outcomes in nearly 30 years. Ion channels are increasingly associated with tumorigenesis, and there are hundreds of brain-penetrant drugs that inhibit ion channels, representing an untapped therapeutic resource. The aim of this exploratory drug study was to screen an ion channel drug library against patient-derived glioblastoma cells to identify new treatments for brain cancer.
In Australia, cancer medicine is increasingly guided by our expanding knowledge of cancer genomics (the study of genetic information) and biology. Personalized treatments and targets are often defined by an individual’s genetic profile—known as precision cancer medicine. The translation of genomics-guided precision therapeutics from bench to bedside is beginning to produce real clinical benefits for Australians living with cancer.
Due to an advanced understanding of cancer biology and the rapid development of genomic technologies, cancer has shifted from 200 diseases based on pathology (i.e., what a tumor looks like under the microscope) to thousands of diseases based on molecular tumor profiles (i.e., what a tumor looks like when its altered genome is interrogated). Most cancers arise from alterations to the genome, including changes in the number or structure of chromosomes and variations in a single building block of the genetic code.
Tertiary Lymphoid Structures (TLSs) are ectopic lymphoid aggregates that form within the tumor microenvironment (TME) and are increasingly recognized as potential prognostic biomarkers in various cancers. However, the spatial heterogeneity and prognostic value of TLSs in esophageal squamous cell carcinoma (ESCC) remain poorly defined. This study aimed to characterize the spatial distribution patterns of TLSs and tumor-infiltrating lymphocytes (TILs), and to establish a refined prognostic model for ESCC patients in both surgery-only and neoadjuvant therapy cohorts.
Immunoneoadjuvant therapy has gained significant attention due to its remarkable advancements in cancer treatment. This study aimed to investigate the molecular mechanisms underlying immunoneoadjuvant therapy through a comprehensive multiomics analysis of samples from a registered clinical trial cohort.