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John A Gonzales

Publications and source records attributed to John A Gonzales.

2 recordsLinked to original sources

Metagenomic Deep Sequencing Identifies Gene Mutations Associated with Chemotherapeutic Resistance in Vitreoretinal Lymphoma.

PURPOSE: To identify gene mutations associated with chemotherapeutic resistance in patients with vitreoretinal lymphoma (VRL) using metagenomic deep sequencing (MDS) of intraocular specimens. METHODS: Patients with VRL confirmed by cytopathology and immunohistochemistry, flow cytometry, and/or polymerase chain reaction for MYD88, were included. Intraocular specimens underwent MDS of the host genome. Gene mutations were identified and cross-referenced with the Catalogue of Somatic Mutations in Cancer database to determine associations with chemotherapeutic resistance. RESULTS: Forty-nine patients with VRL underwent MDS, with six specimens from four patients revealing eight gene mutations associated with chemotherapeutic resistance. Four specimens from three patients harbored mutations associated with methotrexate resistance, the mainstay of VRL treatment. In one patient, serial sampling from the initial vitrectomy and two subsequent recurrences revealed distinct resistance-associated mutations at each time point. Despite multi-agent therapy including rituximab, consolidation regimens, and lenalidomide, this patient ultimately succumbed to the disease, whereas the other three patients remained in long-term remission. CONCLUSIONS: Our findings demonstrated that specific gene mutations associated with chemotherapeutic resistance may be harbored by VRL. The detection of different resistance mutations at sequential time points in one patient may reflect clonal selection, treatment pressure, or variable detection sensitivity. The ability to easily sample ocular fluid and detect different mutations associated with tumor recurrence or persistence may provide insights into tumor pathogenesis and could inform prognosis and influence treatment decisions. These findings establish a foundation for developing targeted PCR assays for identified resistance genes, which could transform clinical practice in VRL.

Chemotherapeutic resistance-associated mutations

Molecular biomarker profiling in noninfectious uveitis: a chronological review of discovery.

PURPOSE OR REVIEW: Noninfectious uveitis (NIU) encompasses a heterogeneous group of immune-mediated intraocular inflammatory diseases whose complexity has driven systematic molecular biomarker discovery. This review presents NIU molecular biomarkers organized by biological category; autoantigens, human leukocyte antigens (HLA) and genetic markers, cellular immune subsets, cytokines, chemokines, and multiomics platforms including proteomics, microbiome metagenomics, metabolomics, and single-cell transcriptomics with each category presented in strict chronological order of landmark discovery. RECENT FINDINGS: We present a review organized along two nested timelines. Categories are presented in the order they historically emerged in the field, and within each category, landmark discoveries appear in chronological sequence. This allows the reader to trace how each biomarker category evolved: from foundational autoantigen identification in experimental uveitis models, through the genomic revolution of HLA association studies, into cellular immunophenotyping, cytokine profiling of aqueous humor, chemokine mapping of intraocular trafficking, and finally the emerging omics platforms that may potentially anchor precision medicine in NIU. Each biomarker is paired in line with its linked targeted therapeutic. SUMMARY: Biomarker research has transformed the understanding of NIU from a clinically defined syndrome into a group of molecularly distinct immune disorders. Advances spanning autoantigens, genetics, immune-cell profiling, cytokines, chemokines, and multiomics have revealed novel pathogenic mechanisms and therapeutic targets. Integration of these biomarkers with targeted therapies may accelerate the transition toward precision medicine in uveitis care.

cytokines