Jennifer K. Kerner

Personalized Nutrition in Chronic Kidney Disease

Nishigandha Pradhan, Jennifer K. Kerner, Luciana Aparecida Campos, Mirela A. Dobre

A personalized approach to nutrition in patients with chronic kidney disease (CKD) represents a promising paradigm shift in disease management, moving beyond traditional one-size-fits-all dietary recommendations. Patients with CKD often have other comorbidities and face unique nutritional challenges, including protein-energy wasting (PEW), …

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The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group

Khalid El Bairi, Harry R. Haynes, Elizabeth F. Blackley, Susan Fineberg et autres

The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic infiltration of lymphocytes with expression of programmed death-ligand 1 (PD-L1). These patients may potentially benefit …

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Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

James A. Diao, Jason K. Wang, Wan Fung Chui, Victoria Mountain et autres

Computational methods have made substantial progress in improving the accuracy and throughput of pathology workflows for diagnostic, prognostic, and genomic prediction. Still, lack of interpretability remains a significant barrier to clinical integration. We present an approach for predicting clinically-relevant molecular phenotypes from …

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Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer

James A. Diao, Wan Fung Chui, Jason K. Wang, Richard N. Mitchell et autres

While computational methods have made substantial progress in improving the accuracy and throughput of pathology workflows for diagnostic, prognostic, and genomic prediction, lack of interpretability remains a significant barrier to clinical integration. In this study, we present a novel approach for predicting …

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Machine learning-based identification of predictive features of the tumor micro-environment and vasculature in NSCLC patients using the IMpower150 study.

Amaro N Taylor-Weiner, Andrew H. Beck, James Donovan Cowan, Hunter L. Elliott et autres

3130 Background: IMpower150 is a phase 3 study measuring the effect of carboplatin and paclitaxel (CP) combined with atezolizumab (A) and/or bevacizumab (B) in patients with advanced nonsquamous NSCLC, testing the hypothesis that anti-PD-L1 therapy may be enhanced by the blockade of …

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Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Jan Hudeček, Leonie Voorwerk, Maartje van Seijen, Iris Nederlof et autres

Stromal tumor-infiltrating lymphocytes (sTILs) are a potential predictive biomarker for immunotherapy response in metastatic triple-negative breast cancer (TNBC). To incorporate sTILs into clinical trials and diagnostics, reliable assessment is essential. In this review, we propose a new concept, namely the implementation of …

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Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

Mohamed T. Amgad, Elisabeth Specht Stovgaard, Eva Balslev, Jeppe Thagaard et autres

Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which …

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Abstract P5-02-02: Artificial intelligence powered predictive analysis of atypical ductal hyperplasia from digitized pathology images

Jennifer K. Kerner, Allison Cleary, Suyog Dutt Jain, Harsha Pokkalla et autres

Abstract Background: Approximately 15-25% of patients with atypical ductal hyperplasia (ADH) diagnosed on breast core needle biopsy (CNB) are upgraded to ductal carcinoma in situ (DCIS) or invasive carcinoma (IC) on surgical excision. The reproducible identification of patients with ADH on CNB …

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Micronutrients in Liver Disease: Roles, Risk Factors for Deficiency, and Recommendations for Supplementation

Michelle Kozeniecki, Rachel Ludke, Jennifer K. Kerner, Brittney Patterson

Micronutrients are essential components of the diet and are required to maintain fundamental bodily functions. Liver disease has a profound effect on nutrient intake, metabolism of nutrients, and nutrition status, often resulting in some degree of malnutrition, including micronutrient deficiency. Vitamin and …

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CD8+ T cells in tumor parenchyma and stroma by image analysis (IA) and gene expression profiling (GEP): Potential biomarkers for immuno-oncology (I-O) therapy.

Péter Márton Szabó, George Lee, Scott A. Ely, Vipul A. Baxi et autres

2594 Background: Distribution patterns of CD8+ T cells within the tumor microenvironment (TME) can be assessed by IA, which may reflect underlying tumor biology and serve as a potential biomarker to assess the utility of I-O therapy. These patterns are variable and …

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Body Mass Index Adversely Affects Survival in Left Ventricular Assist Device Bridged Patients Undergoing Heart Transplantation

Salil Vasudeo Deo, Salah E. Altarabsheh, Jennifer K. Kerner, Jhonattan Benavides et autres

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Rhabdomyosarcoma Arising in a Giant Congenital Melanocytic Nevus

Mitalee P. Christman, Jennifer K. Kerner, Carol Erin Cheng, Adriano Piris et autres

A number of lesions have been documented to arise within congenital melanocytic nevi (CMNs). Although the most frequent malignancy arising within a CMN is melanoma, the association between rhabdomyosarcoma and CMN has rarely been documented. We present a case arising in a …

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