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Benjamin A. Krantz

Researcher at Memorial Sloan Kettering Cancer Center

Publications -  8
Citations -  673

Benjamin A. Krantz is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Cancer research & Medicine. The author has an hindex of 4, co-authored 6 publications receiving 244 citations. Previous affiliations of Benjamin A. Krantz include New York University.

Papers
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Journal ArticleDOI

Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers

Ayuko Hoshino, +136 more
- 20 Aug 2020 - 
TL;DR: EVP proteins can serve as reliable biomarkers for cancer detection and determining cancer type, and a panel of tumor-type-specific EVP proteins in TEs and plasma are defined, which can classify tumors of unknown primary origin.
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Enhanced specificity of clinical high-sensitivity tumor mutation profiling in cell-free DNA via paired normal sequencing using MSK-ACCESS.

TL;DR: MSK-ACCESS as mentioned in this paper is an NGS assay for detection of very low frequency somatic alterations in 129 genes and achieved 92% sensitivity in de-novo mutation calling down to 0.5% allele frequency and 99% for a priori mutation profiling.
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Biomarker-Based Therapy in Pancreatic Ductal Adenocarcinoma: An Emerging Reality?

TL;DR: Current and emerging blood-based biomarkers that provide a measure of disease activity and allow for minimally invasive tumor analyses are emerging, including circulating tumor DNA, exosomes, and circulating tumor cells.
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Pancreas adenocarcinoma: novel therapeutics

TL;DR: Various novel therapeutics under clinical development are examined with a focus on stromal disrupting agents, immunotherapeutics and DNA damage repair strategies for PDAC.
Posted ContentDOI

Enhanced specificity of high sensitivity somatic variant profiling in cell-free DNA via paired normal sequencing: design, validation, and clinical experience of the MSK-ACCESS liquid biopsy assay

TL;DR: The experience illustrates the importance of analyzing a matched normal sample when interpreting cfDNA results and highlights the potential of cfDNA profiling to guide treatment selection, monitor treatment response, and identify mechanisms of treatment resistance.