Neriman Gökden
Professor
faculty
Pathology, College of Medicine
Research Areas
Biography and Research Information
OverviewAI-generated summary
Neriman Gökden, a Professor in Pathology at the University of Arkansas for Medical Sciences, investigates the cellular origins and implications of cancer. Her recent publications explore the stem cell theory of cancer, examining how oncogenesis can recapitulate embryogenesis and its impact on cancer immunity, immunotherapy, and cellular metabolism. Gökden's work also addresses the clinical implications of this theory for cancer care and metabolomics.
Her research extends to specific cancer types, including germ cell tumors of the testis and renal cell carcinoma, as indicated by her MeSH terms. Gökden also collaborates with researchers at her institution, including Ahmet Murat Aydın, Timothy Langford, Sunny Singh, and Manisha Singh, on multiple shared publications. Her scholarship metrics include an h-index of 29 and over 2,800 citations, designating her as a highly cited researcher. Gökden leads a research group and remains recently active in her field.
Metrics
- h-index: 29
- Publications: 96
- Citations: 2,890
Selected Publications
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Influence of Hypothermic Machine Perfusion on Markers of Oxidative Stress and Early Tubular Injury in Rat Donor Kidneys Before Transplantation (2026)
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Pathologic findings and clinical outcomes after immune checkpoint blockade in renal cell carcinoma patients undergoing deferred consolidative nephrectomy. (2026)
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Illuminating Blurry Vision: Visualization of Corneal Protein Deposition With Immunofluorescence in Two Illustrative Case Reports (2026)
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Metformin Attenuates Oxidative Stress and Inflammatory Responses in Obesity-Associated Nonalcoholic Fatty Liver Disease (NAFLD) (2025)
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Complement 5's Role in Mitochondria During Kidney Ischemia-Reperfusion Injury in Rats (2025)
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Compared with Static Cold Storage, Hypothermic Machine Perfusion Mitigates Oxidative Stress and Tubular Injury in Rat Kidneys (2025)
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Persistent BK Viremia Leads to BK Virus Nephropathy-Associated Graft Failure in a Simultaneous Liver-Kidney (SLK) Transplant Recipient on Ustekinumab (2025)
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Post‐ischemia and reperfusion kidney injury is mitigated in a novel complement 5 knockout rat (2025)
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Post-Transplant Lymphoproliferative Disorder: A Diagnostic Challenge Following Negative Needle Biopsy (2025)
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Iptacopan treatment for recurrent dense deposit disease after kidney transplant: A case report (2025)
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Obesity-Associated NAFLD Coexists with a Chronic Inflammatory Kidney Condition That Is Partially Mitigated by Short-Term Oral Metformin (2025)
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Heavy Chain Cast Nephropathy in a Gamma Heavy Chain Disease: RESPONSE to High-Dose Therapy Melphalan and Daratumumab (2025)
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External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection (2025)
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The role of IGFBP-1 in the clinical prognosis and pathophysiology of acute kidney injury (2025)
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Unrecognized Effects of Metformin to Reduce Proteasomal Stress and Macrophage Infiltration in Kidneys of Obese Rats with NAFLD (Abstract ID: 166383) (2025)
Research Interests
I have had many collaborations with researchers in other departments, especially researchers in the Nephrology and Pharmacology/Toxicology divisions at UAMS and other institutions at both nationally and internationally. In such cases, I contributed to the funded basic research by providing diagnostic evaluation and clinical skills, providing guidance for histology, immunohistochemistry and electron microscopy use in research projects by taking full responsibility for ensuring rigorous quality control and quality assurance on all samples processed by the histology core laboratory. The majority of my research relates to genitourinary and renal pathology. - I worked on kidney and prostate cancer in collaboration with Dr. Graham Greene and Dr. Rabi Madi in Urology Department at UAMS, and Dr. Jesse McKenney at Stanford University, CA and Dr. Kiril Trpkov at University of Calgary, Canada. I have been awarded one of our departmental research grants for one of my own projects. - In renal pathology, I work on myeloma-related kidney diseases because of the large number of kidney biopsies coming from myeloma patients at the Myeloma Institute for Research and Therapy. My completed projects as PI were in collaboration with Dr. Bart Barlogie at UAMS, Dr. Helen Liapis at Washington University in Saint Louis, MO, and Dr. Patrick Walker at Nephropath Laboratory in Little Rock, AR. They included exploring morphologic heterogeneity of light chain deposition disease and cast nephropathy in a large series of cases. Our results have been published in prestigious, high impact journals. - In collaboration with the program project grant in our nephrology division which was funded by NIH and VA grants, work on kidney lipoprotein lipase, the role of renal tubule triglyceride accumulation in cisplatin-mediated acute renal failure, and the renal survival pathway in ischemia/reperfusion injury has been completed. Our results were published in several prestigious journals. - I have a long standing collaboration with Dr. Phillip Mayeux in the Pharmacology/Toxicology Department. Our completed projects included looking into hemodynamic changes in the kidney in a pediatric rat model of sepsis-induced acute kidney injury, the effects of resveratrol for improving renal microcirculation, protecting the tubular epithelium, and prolonging survival in a mouse model of sepsis-induced acute kidney injury. We also looked into the protective effects of Actinonin in the renal microcirculation during sepsis. Our collaborations were fruitful and several articles were published, one of which made the cover of the journal Kidney International.
Collaboration Network
Top Collaborators
- Stem Cell Origin of Cancer: Implications of Oncogenesis Recapitulating Embryogenesis in Cancer Care
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- Stem Cell Origin of Cancer: Clinical Implications for Cancer Immunity and Immunotherapy
- Giant left pheochromocytoma with vascular anomalies and pelvic horseshoe kidney: a case report
- Germ Cell Tumor of the Testis: Lethal Subtypes of a Curable Cancer
Showing 5 of 8 shared publications
- Stem Cell Origin of Cancer: Implications of Oncogenesis Recapitulating Embryogenesis in Cancer Care
- Stem Cell Theory of Cancer: Clinical Implications for Cellular Metabolism and Anti-Cancer Metabolomics
- Germ Cell Tumor of the Testis: Lethal Subtypes of a Curable Cancer
- Stem Cell Theory of Cancer: Clinical Implications of Epigenomic versus Genomic Biomarkers in Cancer Care
- Identification of a panel of microRNA biomarkers for the management of patients with refractory germ cell tumor of the testis.
- Stem Cell Origin of Cancer: Implications of Oncogenesis Recapitulating Embryogenesis in Cancer Care
- Stem Cell Theory of Cancer: Clinical Implications for Cellular Metabolism and Anti-Cancer Metabolomics
- Stem Cell Origin of Cancer: Clinical Implications for Cancer Immunity and Immunotherapy
- Stem Cell Theory of Cancer: Clinical Implications of Epigenomic versus Genomic Biomarkers in Cancer Care
- Identification of a panel of microRNA biomarkers for the management of patients with refractory germ cell tumor of the testis.
- Granulomatosis with polyangiitis and renal cell cancer: A sinister association - case report and review of literature
- Membranous Nephropathy Over the Counter? NELL Yes!
- Membranous Nephropathy- over the counter? NELL yes!
- Membranous Nephropathy- Over the Counter? NELL Yes!
- Stem Cell Origin of Cancer: Implications of Oncogenesis Recapitulating Embryogenesis in Cancer Care
- Stem Cell Theory of Cancer: Clinical Implications for Cellular Metabolism and Anti-Cancer Metabolomics
- Stem Cell Origin of Cancer: Clinical Implications for Cancer Immunity and Immunotherapy
- Germ Cell Tumor of the Testis: Lethal Subtypes of a Curable Cancer
- Stem Cell Origin of Cancer: Implications of Oncogenesis Recapitulating Embryogenesis in Cancer Care
- Stem Cell Theory of Cancer: Clinical Implications for Cellular Metabolism and Anti-Cancer Metabolomics
- Stem Cell Origin of Cancer: Clinical Implications for Cancer Immunity and Immunotherapy
- Stem Cell Theory of Cancer: Clinical Implications of Epigenomic versus Genomic Biomarkers in Cancer Care
- Membranous Nephropathy Over the Counter? NELL Yes!
- The role of IGFBP-1 in the clinical prognosis and pathophysiology of acute kidney injury
- Membranous Nephropathy- over the counter? NELL yes!
- Membranous Nephropathy- Over the Counter? NELL Yes!
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- Giant left pheochromocytoma with vascular anomalies and pelvic horseshoe kidney: a case report
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
- P482 – External validation of artificial intelligence algorithm and its comparison with radiologists using PIRADS vs. 2.1 for predicting prostate cancer at prostate biopsy
- Membranous Nephropathy Over the Counter? NELL Yes!
- Membranous Nephropathy- over the counter? NELL yes!
- Membranous Nephropathy- Over the Counter? NELL Yes!
- Stem Cell Theory of Cancer: Clinical Implications for Cellular Metabolism and Anti-Cancer Metabolomics
- Stem Cell Theory of Cancer: Clinical Implications of Epigenomic versus Genomic Biomarkers in Cancer Care
- Identification of a panel of microRNA biomarkers for the management of patients with refractory germ cell tumor of the testis.
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
- P482 – External validation of artificial intelligence algorithm and its comparison with radiologists using PIRADS vs. 2.1 for predicting prostate cancer at prostate biopsy
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
- P482 – External validation of artificial intelligence algorithm and its comparison with radiologists using PIRADS vs. 2.1 for predicting prostate cancer at prostate biopsy
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
- P482 – External validation of artificial intelligence algorithm and its comparison with radiologists using PIRADS vs. 2.1 for predicting prostate cancer at prostate biopsy
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
- P482 – External validation of artificial intelligence algorithm and its comparison with radiologists using PIRADS vs. 2.1 for predicting prostate cancer at prostate biopsy
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- IP21-23 DEEP LEARNING–BASED ARTIFICIAL INTELLIGENCE ALGORITHM FOR PREDICTING PROSTATE CANCER AT PROSTATE BIOPSY AND ITS COMPARISON WITH RADIOLOGISTS USING PIRADS VS 2.1: AN EXTERNAL VALIDATION STUDY
- P482 – External validation of artificial intelligence algorithm and its comparison with radiologists using PIRADS vs. 2.1 for predicting prostate cancer at prostate biopsy
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