Biography and Research Information
OverviewAI-generated summary
David M. Parham's research focuses on the pathological diagnosis and molecular characterization of pediatric tumors, particularly sarcomas. His work has contributed to understanding the genetic underpinnings of these diseases, with recent publications investigating gene fusions in mesenchymal tumors and the role of TP53 variants in anaplastic rhabdomyosarcoma. He has also examined the diagnostic and therapeutic implications of advanced molecular methods in rhabdomyosarcoma and the pathological diagnosis of pediatric soft tissue tumors in the era of molecular medicine.
Parham's research extends to other pediatric malignancies, including embryonal sarcoma of the liver and Sertoli-Leydig cell tumors of the ovary. His investigations have also addressed the clinical aspects of these diseases, such as lymph node metastasis in non-rhabdomyosarcoma soft tissue sarcomas. His extensive publication record and high citation count indicate significant contributions to the field of pediatric oncology pathology.
Metrics
- h-index: 81
- Publications: 464
- Citations: 21,144
Selected Publications
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Pediatric Embryonal Rhabdomyosarcoma: An Integrated Study of Clinicopathological Features, Pan-cancer Targeted Next-generation Sequencing, and Chromosomal Microarray Analysis from a Single Institution (2025)
Collaboration Network
Top Collaborators
- <i>TP53</i> germline pathogenic variant frequency in anaplastic rhabdomyosarcoma: A Children's Oncology Group report
- TP53 Germline Pathogenic Variant Frequency in Anaplastic Rhabdomyosarcoma: A Children’s Oncology Group Report
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
Showing 5 of 6 shared publications
- <scp><i>FGFR1</i></scp> gene fusions in a subset of pediatric mesenchymal tumors: Expanding the genetic spectrum of tumors sharing histologic overlap with infantile fibrosarcoma and “<scp><i>NTRK</i></scp>‐rearranged” spindle cell neoplasms
- The Pathologic Diagnosis of Pediatric Soft Tissue Tumors in the Era of Molecular Medicine: The Sarcoma Pediatric Pathology Research Interest Group Perspective
- <i>TP53</i> germline pathogenic variant frequency in anaplastic rhabdomyosarcoma: A Children's Oncology Group report
- TP53 Germline Pathogenic Variant Frequency in Anaplastic Rhabdomyosarcoma: A Children’s Oncology Group Report
- Loss of H3K27me3 Is Not Specific to Malignant Triton Tumor: Immunohistochemical Analysis of 23 Cases of Embryonal Rhabdomyosarcoma
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Supplementary Figures 1 - 5, Tables 1 - 9 from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Data from A Novel Algorithm for Simplification of Complex Gene Classifiers in Cancer
- Rhabdomyosarcoma: How Advanced Molecular Methods Are Shaping the Diagnostic and Therapeutic Paradigm
- Rhabdomyosarcoma: From Obscurity to Clarity in Diagnosis … But With Ongoing Challenges in Management: The Farber-Landing Lecture of 2020
- Pediatric Sarcomas: The Next Generation of Molecular Studies
- Lymph node metastases in paediatric and young adult patients with non-rhabdomyosarcoma soft tissue sarcoma (NRSTS): Findings from Children's Oncology Group (COG) study ARST0332
- The Pathologic Diagnosis of Pediatric Soft Tissue Tumors in the Era of Molecular Medicine: The Sarcoma Pediatric Pathology Research Interest Group Perspective
- Embryonal sarcoma of the liver in pediatric and young adult patients: A report from Children’s Oncology Group study ARST0332
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