Publications by authors named "A Brodsky"

This study explores the experiences of Rohingya refugees in the United States following their forced migration and years as stateless refugees. Qualitative strengths-based phenomenological analysis was applied to individual interviews with eight key informants, all identified as Rohingya refugees. Interviews focused on experience and meaning-making concerning the complexities of Rohingya identity and belonging, rights and liberation in the United States, and the impact of generational, gender, and migration patterns.

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Adult type ovarian granulosa cell tumors (AGCTs) are rare malignancies with the near universal c.C402G (p.Cys134Trp) somatic mutation in FOXL2, a Forkhead box-family transcription factor important for ovarian function.

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Background: Collagen type X (ColXα1, encoded by ) is expressed specifically in the cartilage-to-bone transition, in bone marrow cells, and in osteoarthritic (OA) cartilage. We have previously shown that ColXα1 is expressed in breast tumor stroma, correlates with tumor-infiltrating lymphocytes, and predicts poor adjuvant therapy outcomes in ER/HER2 breast cancer. However, the underlying molecular mechanisms for these effects are unknown.

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Objectives: To evaluate survival outcomes among patients with adult-type granulosa cell tumors who have telomerase reverse transcriptase () promoter mutations.

Methods: This is a retrospective cohort study using the MD Anderson Rare Gynecologic Malignancy Registry. Patients with adult granulosa cell tumors who underwent molecular testing for promoter and c.

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Article Synopsis
  • - MicroRNAs, which are short non-coding RNAs, play a key role in protein regulation and are being explored as potential biomarkers for Alzheimer's disease (AD).
  • - The study analyzed plasma samples from 847 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) and discovered specific microRNA signatures that correlate with AD diagnosis and the progression from mild cognitive impairment (MCI) to AD.
  • - Findings suggest that evaluating plasma microRNA levels, alongside neuropsychological tests, can enhance the prediction accuracy for MCI to AD conversion, potentially helping to identify at-risk individuals and reduce the need for costly diagnostic procedures.
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