
Chad J. Creighton
Articles
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Jan 6, 2025 |
digitalcommons.library.tmc.edu | Chad J. Creighton |Flora Zhang |Yiqun Zhang |Patricia D. Castro
KeywordsMale, Humans, DNA Methylation, Transcriptome, Black or African American, Epigenomics, Prostatic Neoplasms, RNA, Messenger, Gene Expression Regulation, Neoplastic, CpG Islands, Carrier Proteins, Nerve Tissue Proteins, Clinically localized prostate cancer, DNA methylation, gene expression, Genome-wide profiling, CpG methylation, African American menAbstractAfrican American (AA) men have the highest incidence and mortality rate from Prostate cancer (PCa) than any other racial/ethnic group.
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Jan 6, 2025 |
digitalcommons.library.tmc.edu | Yiqun Zhang |Fengju Chen |Chad J. Creighton
KeywordsHumans, Neoplasms, Antineoplastic Agents, Transcriptome, metastasis, transcriptomics, patient-derived xenografts, PDX, molecular subtypes, pan-cancer, MYC, prostaglandins, EZH2, immune checkpointAbstractMolecular mechanisms underlying cancer metastasis span diverse tissues of origin. Here, we synthesize and collate the transcriptomes of patient-derived xenografts and patient tumor metastases, and these data collectively represent 38 studies and over 3,000 patients and 4,000 tumors.
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Jan 6, 2025 |
digitalcommons.library.tmc.edu | Chad J. Creighton
KeywordsHumans, Female, Transcriptome, Gene Expression Profiling, Neoplasms, Gene Expression Regulation, Neoplastic, Breast NeoplasmsAbstractThe vast amount of gene expression profiling data of bulk tumors and cell lines available in the public domain represents a tremendous resource.
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Jan 6, 2025 |
digitalcommons.library.tmc.edu | Fengju Chen |Yiqun Zhang |Fritz J Sedlazeck |Chad J. Creighton
KeywordsHumans, Transcriptome, Neoplasms, RNA, Germ Cells, cancer, structural variation, structural variants, germline, PCAWG, Pan-Cancer Analysis of Whole Genomes, Whole Genome Sequencing, GWAS, eQTL, expression quantitative trait lociAbstractGermline variation and somatic alterations contribute to the molecular profile of cancers. We combine RNA with whole genome sequencing across 1,218 cancer patients to determine the extent germline structural variants (SVs) impact expression of nearby genes.
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Jan 6, 2025 |
digitalcommons.library.tmc.edu | Yiqun Zhang |Fengju Chen |Marija Balic |Chad J. Creighton
BACKGROUND: The differential gene expression profile of metastatic versus primary breast tumors represents an avenue for discovering new or underappreciated pathways underscoring processes of metastasis. However, as tumor biopsy samples are a mixture of cancer and non-cancer cells, most differentially expressed genes in metastases would represent confounders involving sample biopsy site rather than cancer cell biology.
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