Evidence map›Paper›PMID 40528209›Full record

ArticleInfectious agents and cancer2025

Skin biopsy processing for rapid molecular diagnosis and histopathologic interpretation: application to Kaposi sarcoma in East Africa.

Jason C Manning, Xinying Chu, Juan Boza, Racheal Ayanga, Hilda Muwando, Robert Lukande, Marcelo Horenstein, Toby Maurer, Ethel Cesarman, Aggrey Semeere and 2 more

Abstract read
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Article in Infectious agents and cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Jason C ManningMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Xinying ChuSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA.
Juan BozaMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Racheal AyangaInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Hilda MuwandoInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Robert LukandeInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Marcelo HorensteinDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Toby MaurerDepartment of Dermatology, Indiana University, Bloomington, IN, USA.
Ethel CesarmanDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Aggrey SemeereInfectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Jeffrey MartinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
David EricksonSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA. de54@cornell.edu.

Funding

Rapid Sample-to-Answer Diagnosis of Kaposi's Sarcoma Across Sub-Saharan Africa using KS-COMPLETEU01CA269199 · NCI · CORNELL UNIVERSITY · PI Ethel Cesarman, David Carl Erickson · 2022 to 2026
$3.0M
NCI NIH HHS U01 CA269199
6 · The paper itself

Abstract

backgroundKaposi sarcoma (KS) is a cancer of viral origin (Kaposi sarcoma-associated herpesvirus; KSHV) for which the detection of KSHV DNA is an attractive target for a rapid, automatable diagnostic test. We previously demonstrated favorable diagnostic accuracy using loop-mediated isothermal amplification (LAMP) to quantitate KSHV DNA in lesional skin biopsies, though extracting DNA from the punch biopsies was the time-limiting step. Herein, we describe the development of a biopsy processing tool called Slicer to enable rapid nucleic acid testing in addition to traditional histopathological interpretation.

methodsSlicer divides skin punch biopsies into two ½-cylinders and a thin, cross-sectional slice. The thin slice enables a previously demonstrated, equipment-free alkaline extraction termed ColdSHOT while the remaining ½-cylinders are available for histopathological diagnosis and additional molecular testing as needed. Slicer prototypes were used on skin punch biopsies collected from patients in Uganda who were referred for clinical suspicion of KS.

resultsFor 27 patient samples, the combination of Slicer and ColdSHOT sample processing with LAMP testing resulted in qualitative KSHV DNA detection that was fully concordant with US-based histopathological diagnoses. Additional analysis demonstrated compatibility of Slicer and ColdSHOT with qPCR for KSHV DNA quantitation.

conclusionsThese results warrant further investigation using a larger set of skin biopsies and indicate that the Slicer and ColdSHOT could enable accurate KS diagnosis within a few hours of biopsy collection with minimal equipment.

Indexed as

Kaposi sarcomaNucleic acid testingPoint-of-care testingSkin sample processing

Identifiers

PMID40528209
PMCPMC12175338

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.