Evidence map›Paper›PMID 37375462›Full record

ArticlePathogens (Basel, Switzerland)2023

Detection of SARS-CoV-2 RNA by In Situ Hybridization in Lung-Cancer Cells Metastatic to Brain and in Adjacent Brain Parenchyma.

Tibor Valyi-Nagy, Brian Fredericks, Jessica Wilson, Sajal Deea Shukla, Suman Setty, Konstantin V Slavin, Klara Valyi-Nagy

Abstract readCase Reports
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tibor Valyi-NagyDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.
Brian FredericksDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.
Jessica WilsonDepartment of Neurology, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.
Sajal Deea ShuklaDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.
Suman SettyDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.
Konstantin V SlavinDepartment of Neurosurgery, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.ORCID 0000-0002-7946-8639
Klara Valyi-NagyDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms by which severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may spread to the human brain are poorly understood, and the infection of cancer cells in the brain by SARS-CoV-2 in Coronavirus disease 2019 (COVID-19) patients has been the subject of only one previous case report. Here, we report the detection of SARS-CoV-2 RNA by in situ hybridization in lung-cancer cells metastatic to the brain and adjacent brain parenchyma in a 63-year-old male patient with COVID-19. These findings suggest that metastatic tumors may transport the virus from other parts of the body to the brain or may break down the blood-brain barrier to allow for the virus to spread to the brain. These findings confirm and extend previous observations that cancer cells in the brain can become infected by SARS-CoV-2 in patients with COVID-19 and raise the possibility that SARS-CoV-2 can have a direct effect on cancer growth and outcome.

Indexed as

braincancerclinical case/reportin situ hybridizationmetastatic carcinomaSARS-CoV-2

Identifiers

PMID37375462
PMCPMC10302960

What OpenQuestion holds

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Registered trials

None linked

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.