Publications by authors named "Cora A Ricker"

Risk stratification in localized prostate cancer (PCa) remains imprecise. Computational pathology has emerged as an attractive option for improving risk stratification, but current approaches either lack interpretability or focus solely on tumor morphology. Here, we identify, validate, and provide interpretability for an immune microenvironment-derived computational pathology biomarker for high-grade PCa.

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Article Synopsis
  • The introduction of immune checkpoint blockade (ICB) has greatly improved treatment outcomes for advanced melanoma, but many patients still become resistant to it due to unclear reasons.
  • Although combining different ICB therapies has been shown to enhance response rates, it also comes with increased toxicity for patients.
  • An analysis of tumor samples from ICB-naïve patients revealed that high genomic heterogeneity and low ploidy can identify those who are intrinsically resistant to aPD-1, leading to a predictive model that may help tailor treatment strategies.
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Background And Objective: Previous germline studies on renal cell carcinoma (RCC) have usually pooled clear and non-clear cell RCCs and have not adequately accounted for population stratification, which might have led to an inaccurate estimation of genetic risk. Here, we aim to analyze the major germline drivers of RCC risk and clinically relevant but underexplored germline variant types.

Methods: We first characterized germline pathogenic variants (PVs), cryptic splice variants, and copy number variants (CNVs) in 1436 unselected RCC patients.

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Immuno-oncology holds promise for transforming patient care having achieved durable clinical response rates across a variety of advanced and metastatic cancers. Despite these achievements, only a minority of patients respond to immunotherapy, underscoring the importance of elucidating molecular mechanisms responsible for response and resistance to inform the development and selection of treatments. Breakthroughs in molecular sequencing technologies have led to the generation of an immense amount of genomic and transcriptomic sequencing data that can be mined to uncover complex tumor-immune interactions using computational tools.

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  • Rhabdomyosarcoma is a rare childhood muscle cancer with around 350 cases annually in North America, resulting in limited drug development options.
  • A study screened 640,000 compounds and discovered that dihydropyridine (DHP) anti-hypertensives showed promise as effective inhibitors of cancer cell growth in various rhabdomyosarcoma cell lines.
  • The research revealed that DHPs’ anti-cancer effects are not solely linked to their expected interaction with L-type calcium channels, suggesting potential for developing new DHP derivatives that target rhabdomyosarcoma without causing high blood pressure issues.
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Importance: RCC encompasses a set of histologically distinct cancers with a high estimated genetic heritability, of which only a portion is currently explained. Previous rare germline variant studies in RCC have usually pooled clear and non-clear cell RCCs and have not adequately accounted for population stratification that may significantly impact the interpretation and discovery of certain candidate risk genes.

Objective: To evaluate the enrichment of germline PVs in established cancer-predisposing genes (CPGs) in clear cell and non-clear cell RCC patients compared to cancer-free controls using approaches that account for population stratification and to identify unconventional types of germline RCC risk variants that confer an increased risk of developing RCC.

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  • Neoadjuvant immune checkpoint blockade is a treatment that helps the body's immune system fight oral cancer and has shown good results in patients.
  • In a study, scientists found that specific immune cells called CD8 T cells became more active and ready to attack the cancer right before and during treatment.
  • The treatment not only boosted the immune response in the tumors but also in the blood, creating more activated T cells which were important for fighting the cancer.
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Rhabdomyosarcoma (RMS) is a mesenchymal malignancy phenocopying muscle and is among the leading causes of death from childhood cancer. Metastatic alveolar rhabdomyosarcoma is the most aggressive subtype with an 8% 5-yr disease-free survival rate when a chromosomal fusion is present and a 29% 5-yr disease-free survival rate when negative for a fusion event. The underlying biology of -fusion-negative alveolar rhabdomyosarcoma remains largely unexplored and is exceedingly rare in Li-Fraumeni syndrome patients.

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Rhabdomyosarcoma (RMS) is the most common childhood soft-tissue sarcoma. The largest subtype of RMS is embryonal rhabdomyosarcoma (ERMS) and accounts for 53% of all RMS. ERMS typically occurs in the head and neck region, bladder, or reproductive organs and portends a promising prognosis when localized; however, when metastatic the 5-yr overall survival rate is ∼43%.

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-rearranged sarcomas (CRSs) have recently been characterized as a distinct sarcoma subgroup with a less favorable prognosis compared to other small round cell sarcomas. CRSs share morphologic features with Ewing's sarcoma and prior to 2013 were grouped under undifferentiated sarcomas with round cell phenotype by the WHO classification. In this report, whole-genome sequencing and RNA sequencing were performed for an adolescent male patient with CRS who was diagnosed with undifferentiated pleomorphic sarcoma (UPS) by three contemporary institutions.

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Relapsed and metastatic hepatoblastoma represents an unmet clinical need with limited chemotherapy treatment options. In a chemical screen, we identified volasertib as an agent with activity, inhibiting hepatoblastoma cell growth while sparing normal hepatocytes. Volasertib targets PLK1 and prevents the progression of mitosis, resulting in eventual cell death.

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Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder that results from germline mutations of the gene, creating a predisposition to low-grade gliomas (LGGs; pilocytic astrocytoma) in young children. Insufficient data and resources represent major challenges to identifying the best possible drug therapies for children with this tumor. Herein, we summarize the currently available cell lines, genetically engineered mouse models, and therapeutic targets for these LGGs.

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