On Chip Analysis of CNS Lymphoma in Cerebrospinal Fluid

Turetsky, Anna; Lee, Kyungheon; Song, Jun Hyeok; Giedt, Randy J.; Kim, Eunha; Kovach, Alexandra E.; Hochberg, Ephraim P.; Castro, Cesar M.; Lee, Hakho; Weissleder, Ralph

doi:10.7150/thno.11220

Cited by 13 publications

(12 citation statements)

References 40 publications

(32 reference statements)

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“…However, despite all the aforementioned differences, it is interesting to note how the majority of the studies report an increased number of positive CSF samples for lymphoma involvement employing flow cytometry along with conventional cytology, although in a few cases only morphology can correctly identify malignant cells. The clinical meaning of these findings is currently not completely clear, but we hope it will be more deeply examined in future years, when new molecular and more sensitive methods will be introduced in clinical laboratories . Eventually, focusing on clinical outcome of laboratory tests for meningeal involvement by lymphoproliferative disease, along with improved standardization of methods, will lead to optimal clinical applications on individual patients.…”

Section: Resultsmentioning

confidence: 99%

“…The clinical meaning of these findings is currently not completely clear, 57 but we hope it will be more deeply examined in future years, when new molecular and more sensitive methods will be introduced in clinical laboratories. 58 Eventually, focusing on clinical outcome of laboratory tests for meningeal involvement by lymphoproliferative disease, along with improved standardization of methods, will lead to optimal clinical applications on individual patients.…”

Section: Resultsmentioning

confidence: 99%

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Accuracy of flow cytometry and cytomorphology for the diagnosis of meningeal involvement in lymphoid neoplasms: A systematic review

Canovi

Campioli

2016

Diagnostic Cytopathology

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Central nervous system (CNS) involvement by lymphoid neoplasms is a relatively infrequent event that demands accurate identification. The purpose of this article is to review studies comparing diagnostic accuracy of flow cytometry (FCM) and cytomorphology (CM) for meningeal involvement from lymphoid neoplasms. Primary publications from the last 26 years were identified searching MedLine, Scopus, and Web of Science and systematically scanning bibliographies of identified articles. Only studies reporting complete results were included. We assessed study quality using the QUADAS‐2 tool. For each study, we extracted informations regarding study population, technical details about sample preparation, data analysis, and results. Twenty‐seven studies were included. A great heterogeneity regarding study populations and analytical procedures was observed among studies. Percentages of samples giving a positive result with both FCM and CM range from 0.3% to 42.9% among studies, whereas double negative samples go from 0% to 96.3%. Samples with positive FCM but negative CM are reported by 89% (24/27) of the studies with rates ranging from 3.5% to 61.5% of total specimens. On the contrary, samples with positive CM and negative FCM are found in 48% (13/27) of the studies with percentages ranging from 0.5% to 10%. Despite all the differences observed among studies, almost all of them state that employing flow cytometry along with conventional cytology increases the number of positive CSF samples for lymphoma involvement, although a few cases remain in whom only morphology can correctly identify malignant cells. Diagn. Cytopathol. 2016;44:841–856. © 2016 Wiley Periodicals, Inc.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Accuracy of flow cytometry and cytomorphology for the diagnosis of meningeal involvement in lymphoid neoplasms: A systematic review

Canovi

Campioli

2016

Diagnostic Cytopathology

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“…Through continued innovations ( e.g. , novel microfluidic cartridges27), integrated protein and DNA testing could also be achieved with our platform for expanded POC analyses.…”

Section: Discussionmentioning

confidence: 99%

Point-of-care cervical cancer screening using deep learning-based microholography

Pathania¹,

Landeros²,

Rohrer³

et al. 2019

Theranostics

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Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures or ready access to them. In contrast, most developed countries now embrace human papillomavirus (HPV) analyses as standalone screening; this transition threatens to further widen the resource gap.Methods: We describe the development of a DNA-focused digital microholography platform for point-of-care HPV screening, with automated readouts driven by customized deep-learning algorithms. In the presence of high-risk HPV 16 or 18 DNA, microbeads were designed to bind the DNA targets and form microbead dimers. The resulting holographic signature of the microbeads was recorded and analyzed.Results: The HPV DNA assay showed excellent sensitivity (down to a single cell) and specificity (100% concordance) in detecting HPV 16 and 18 DNA from cell lines. Our deep learning approach was 120-folder faster than the traditional reconstruction method and completed the analysis in < 2 min using a single CPU. In a blinded clinical study using patient cervical brushings, we successfully benchmarked our platform's performance to an FDA-approved HPV assay.Conclusions: Reliable and decentralized HPV testing will facilitate cataloguing the high-risk HPV landscape in underserved populations, revealing HPV coverage gaps in existing vaccination strategies and informing future iterations.

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“…In the past few years, the clinical potential of some other technological platforms including microfluidic technology, immunomagnetic platform, high performance liquid chromatography-mass spectrometry, next generation sequencing (NGS) and proteolytic activity matrix assay (PrAMA) has also been demonstrated [25,50,55,66,67,68,69]. Despite interest and promises, the singularity of these reports does not allow yet making conclusions on suitability of these methods to improve prognosis in patients.Overall, despite CSF liquid biopsy is expected to yield clinically significant biomarkers and assays, the main drawback to all aforementioned approaches in vitro is that their sensitivity is substantially limited by the volume of the sample [70,71].…”

Section: In Vitro Detection Of Csf Tumor Markersmentioning

confidence: 99%

New Frontiers in Diagnosis and Therapy of Circulating Tumor Markers in Cerebrospinal Fluid In Vitro and In Vivo

Sindeeva

Verkhovskii

Sarimollaoglu

et al. 2019

Cells

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One of the greatest challenges in neuro-oncology is diagnosis and therapy (theranostics) of leptomeningeal metastasis (LM), brain metastasis (BM) and brain tumors (BT), which are associated with poor prognosis in patients. Retrospective analyses suggest that cerebrospinal fluid (CSF) is one of the promising diagnostic targets because CSF passes through central nervous system, harvests tumor-related markers from brain tissue and, then, delivers them into peripheral parts of the human body where CSF can be sampled using minimally invasive and routine clinical procedure. However, limited sensitivity of the established clinical diagnostic cytology in vitro and MRI in vivo together with minimal therapeutic options do not provide patient care at early, potentially treatable, stages of LM, BM and BT. Novel technologies are in demand. This review outlines the advantages, limitations and clinical utility of emerging liquid biopsy in vitro and photoacoustic flow cytometry (PAFC) in vivo for assessment of CSF markers including circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), microRNA (miRNA), proteins, exosomes and emboli. The integration of in vitro and in vivo methods, PAFC-guided theranostics of single CTCs and targeted drug delivery are discussed as future perspectives.

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On Chip Analysis of CNS Lymphoma in Cerebrospinal Fluid

Cited by 13 publications

References 40 publications

Accuracy of flow cytometry and cytomorphology for the diagnosis of meningeal involvement in lymphoid neoplasms: A systematic review

Accuracy of flow cytometry and cytomorphology for the diagnosis of meningeal involvement in lymphoid neoplasms: A systematic review

Point-of-care cervical cancer screening using deep learning-based microholography

New Frontiers in Diagnosis and Therapy of Circulating Tumor Markers in Cerebrospinal Fluid In Vitro and In Vivo

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